Instructions to use 98sd7fc9sdf/anus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 98sd7fc9sdf/anus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rzgar/Wan2.2_I2V_LightX2V_2Step", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("98sd7fc9sdf/anus") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from 98sd7fc9sdf/anus: direct link, hf CLI and curl.
- Browser
- Download file 346 Bytes
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https://huggingface.co/98sd7fc9sdf/anus/resolve/main/README.md
- Command line
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hf download hf://98sd7fc9sdf/anus/README.md
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curl -L -o README.md https://huggingface.co/98sd7fc9sdf/anus/resolve/main/README.md
346 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/48685818_022_5ca3.jpg | |
| text: '-' | |
| base_model: rzgar/Wan2.2_I2V_LightX2V_2Step | |
| instance_prompt: null | |
| license: unknown | |
| # anussss | |
| <Gallery /> | |
| ## Download model | |
| [Download](/98sd7fc9sdf/anus/tree/main) them in the Files & versions tab. | |