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/config.json from Gluttony10/Wan-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 177 Bytes
-
https://huggingface.co/Gluttony10/Wan-diffusers/resolve/main/WanImageProcessor/config.json
- Command line
-
hf download hf://Gluttony10/Wan-diffusers/WanImageProcessor/config.json
-
curl -L -o config.json https://huggingface.co/Gluttony10/Wan-diffusers/resolve/main/WanImageProcessor/config.json
177 Bytes
| { | |
| "_class_name": "Wan225BI2VImageProcessor", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "auto_map": { | |
| "ModularPipelineBlocks": "block.Wan225BI2VImageProcessor" | |
| } | |
| } | |