Instructions to use bglick13/ddim-butterflies-128-v-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bglick13/ddim-butterflies-128-v-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bglick13/ddim-butterflies-128-v-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download scheduler/scheduler_config.json from bglick13/ddim-butterflies-128-v-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 347 Bytes
-
https://huggingface.co/bglick13/ddim-butterflies-128-v-diffusion/resolve/1fe39f8f6f043ca1f584f469931d975cd5898c8e/scheduler/scheduler_config.json
- Command line
-
hf download hf://bglick13/ddim-butterflies-128-v-diffusion@1fe39f8f6f043ca1f584f469931d975cd5898c8e/scheduler/scheduler_config.json
-
curl -L -o scheduler_config.json https://huggingface.co/bglick13/ddim-butterflies-128-v-diffusion/resolve/1fe39f8f6f043ca1f584f469931d975cd5898c8e/scheduler/scheduler_config.json
347 Bytes
| { | |
| "_class_name": "DDIMScheduler", | |
| "_diffusers_version": "0.8.0.dev0", | |
| "beta_end": 0.02, | |
| "beta_schedule": "squaredcos_cap_v2", | |
| "beta_start": 0.0001, | |
| "clip_sample": true, | |
| "num_train_timesteps": 1000, | |
| "prediction_type": "v", | |
| "set_alpha_to_one": true, | |
| "steps_offset": 0, | |
| "trained_betas": null, | |
| "variance_type": "v_diffusion" | |
| } | |