Instructions to use FrankCCCCC/ddpm-ema-10k_cfm-corr-2-ss0.01-ep100-ema-run2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FrankCCCCC/ddpm-ema-10k_cfm-corr-2-ss0.01-ep100-ema-run2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FrankCCCCC/ddpm-ema-10k_cfm-corr-2-ss0.01-ep100-ema-run2", 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 model_index.json from FrankCCCCC/ddpm-ema-10k_cfm-corr-2-ss0.01-ep100-ema-run2: direct link, hf CLI and curl.
- Browser
- Download file 249 Bytes
-
https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-2-ss0.01-ep100-ema-run2/resolve/main/model_index.json
- Command line
-
hf download hf://FrankCCCCC/ddpm-ema-10k_cfm-corr-2-ss0.01-ep100-ema-run2/model_index.json
-
curl -L -o model_index.json https://huggingface.co/FrankCCCCC/ddpm-ema-10k_cfm-corr-2-ss0.01-ep100-ema-run2/resolve/main/model_index.json
249 Bytes
| { | |
| "_class_name": "DDPMCorrectorPipeline", | |
| "_diffusers_version": "0.34.0", | |
| "allowed_ctrl_timesteps": [ | |
| 2 | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DModel" | |
| ] | |
| } | |