Instructions to use Gluttony10/Wan-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gluttony10/Wan-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gluttony10/Wan-diffusers", 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 WanImageProcessor/modular_model_index.json from Gluttony10/Wan-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 233 Bytes
-
https://huggingface.co/Gluttony10/Wan-diffusers/resolve/main/WanImageProcessor/modular_model_index.json
- Command line
-
hf download hf://Gluttony10/Wan-diffusers/WanImageProcessor/modular_model_index.json
-
curl -L -o modular_model_index.json https://huggingface.co/Gluttony10/Wan-diffusers/resolve/main/WanImageProcessor/modular_model_index.json
233 Bytes
| { | |
| "_blocks_class_name": "Wan225BI2VImageProcessor", | |
| "_class_name": "ModularPipeline", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "patch_size": [ | |
| 1, | |
| 2, | |
| 2 | |
| ], | |
| "vae_stride": [ | |
| 4, | |
| 16, | |
| 16 | |
| ] | |
| } | |