Instructions to use 8BitStudio/Aniimage-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8BitStudio/Aniimage-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8BitStudio/Aniimage-2", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusion_pytorch_model.safetensors from 8BitStudio/Aniimage-2: direct link, hf CLI and curl.
- Browser
- Download file 1.77 GB
-
https://huggingface.co/8BitStudio/Aniimage-2/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://8BitStudio/Aniimage-2/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/8BitStudio/Aniimage-2/resolve/main/diffusion_pytorch_model.safetensors
1.77 GB
- Xet hash:
- 724ff4641406e6b5661947b12eb81a2b40a6b6a68e5ad27066f436869e9eb5bc
- Size of remote file:
- 1.77 GB
- SHA256:
- c298c8d61a380e4941d02372bf2e7de27de15ecd28c2236cd005c59c598105a4
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