Add files using upload-large-folder tool
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- epochs/ep0/scheduler/scheduler_config.json +18 -0
- epochs/ep0/unet/config.json +48 -0
- epochs/ep105/scheduler/scheduler_config.json +18 -0
- epochs/ep105/unet/config.json +48 -0
- epochs/ep110/scheduler/scheduler_config.json +18 -0
- epochs/ep110/unet/config.json +48 -0
- epochs/ep125/scheduler/scheduler_config.json +18 -0
- epochs/ep125/unet/config.json +48 -0
- epochs/ep145/scheduler/scheduler_config.json +18 -0
- epochs/ep145/unet/config.json +48 -0
- epochs/ep175/scheduler/scheduler_config.json +18 -0
- epochs/ep175/unet/config.json +48 -0
- epochs/ep180/scheduler/scheduler_config.json +18 -0
- epochs/ep180/unet/config.json +48 -0
- epochs/ep185/scheduler/scheduler_config.json +18 -0
- epochs/ep185/unet/config.json +48 -0
- epochs/ep190/scheduler/scheduler_config.json +18 -0
- epochs/ep190/unet/config.json +48 -0
- epochs/ep210/scheduler/scheduler_config.json +18 -0
- epochs/ep210/unet/config.json +48 -0
- epochs/ep215/scheduler/scheduler_config.json +18 -0
- epochs/ep215/unet/config.json +48 -0
- epochs/ep225/scheduler/scheduler_config.json +18 -0
- epochs/ep225/unet/config.json +48 -0
- epochs/ep240/scheduler/scheduler_config.json +18 -0
- epochs/ep240/unet/config.json +48 -0
- epochs/ep255/scheduler/scheduler_config.json +18 -0
- epochs/ep255/unet/config.json +48 -0
- epochs/ep265/scheduler/scheduler_config.json +18 -0
- epochs/ep265/unet/config.json +48 -0
- epochs/ep270/scheduler/scheduler_config.json +18 -0
- epochs/ep270/unet/config.json +48 -0
- epochs/ep285/scheduler/scheduler_config.json +18 -0
- epochs/ep285/unet/config.json +48 -0
- epochs/ep30/scheduler/scheduler_config.json +18 -0
- epochs/ep30/unet/config.json +48 -0
- epochs/ep305/scheduler/scheduler_config.json +18 -0
- epochs/ep305/unet/config.json +48 -0
- epochs/ep315/scheduler/scheduler_config.json +18 -0
- epochs/ep315/unet/config.json +48 -0
- epochs/ep325/scheduler/scheduler_config.json +18 -0
- epochs/ep325/unet/config.json +48 -0
- epochs/ep340/scheduler/scheduler_config.json +18 -0
- epochs/ep340/unet/config.json +48 -0
- epochs/ep345/scheduler/scheduler_config.json +18 -0
- epochs/ep345/unet/config.json +48 -0
- epochs/ep35/scheduler/scheduler_config.json +18 -0
- epochs/ep35/unet/config.json +48 -0
- epochs/ep365/scheduler/scheduler_config.json +18 -0
- epochs/ep365/unet/config.json +48 -0
epochs/ep0/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep0/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep105/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep105/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep110/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep110/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep125/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep125/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep145/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep145/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep175/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep175/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep180/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep180/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep185/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep185/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep190/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep190/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep210/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep210/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep215/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep215/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep225/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep225/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep240/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep240/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep255/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep255/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep265/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep265/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep270/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep270/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep285/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep285/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep30/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep30/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep305/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep305/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep315/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep315/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep325/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep325/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep340/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep340/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep345/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep345/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep35/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep35/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|
epochs/ep365/scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 4096,
|
| 8 |
+
"max_shift": 1.15,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": null,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": false,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
epochs/ep365/unet/config.json
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.34.0",
|
| 4 |
+
"_name_or_path": "/home/sc3379_cornell_edu/.cache/huggingface/hub/models--google--ddpm-cifar10-32/snapshots/267b167dc01f0e4e61923ea244e8b988f84deb80",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
256,
|
| 12 |
+
256,
|
| 13 |
+
256
|
| 14 |
+
],
|
| 15 |
+
"center_input_sample": false,
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"down_block_types": [
|
| 18 |
+
"DownBlock2D",
|
| 19 |
+
"AttnDownBlock2D",
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D"
|
| 22 |
+
],
|
| 23 |
+
"downsample_padding": 0,
|
| 24 |
+
"downsample_type": "conv",
|
| 25 |
+
"dropout": 0.0,
|
| 26 |
+
"flip_sin_to_cos": false,
|
| 27 |
+
"freq_shift": 1,
|
| 28 |
+
"in_channels": 3,
|
| 29 |
+
"layers_per_block": 2,
|
| 30 |
+
"mid_block_scale_factor": 1,
|
| 31 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 32 |
+
"norm_eps": 1e-06,
|
| 33 |
+
"norm_num_groups": 32,
|
| 34 |
+
"num_class_embeds": null,
|
| 35 |
+
"num_train_timesteps": null,
|
| 36 |
+
"out_channels": 3,
|
| 37 |
+
"resnet_time_scale_shift": "default",
|
| 38 |
+
"sample_size": 32,
|
| 39 |
+
"time_embedding_dim": null,
|
| 40 |
+
"time_embedding_type": "positional",
|
| 41 |
+
"up_block_types": [
|
| 42 |
+
"UpBlock2D",
|
| 43 |
+
"UpBlock2D",
|
| 44 |
+
"AttnUpBlock2D",
|
| 45 |
+
"UpBlock2D"
|
| 46 |
+
],
|
| 47 |
+
"upsample_type": "conv"
|
| 48 |
+
}
|