Instructions to use AlexWortega/AnimeDiffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexWortega/AnimeDiffusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlexWortega/AnimeDiffusion2", 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 unet/diffusion_pytorch_model.bin from AlexWortega/AnimeDiffusion2: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/AlexWortega/AnimeDiffusion2/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://AlexWortega/AnimeDiffusion2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/AlexWortega/AnimeDiffusion2/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 0752a171474842e9da5d9202adaddf7dc0070524684c4d664f3c2b5aa968086c
- Size of remote file:
- 3.44 GB
- SHA256:
- fb5cf3f2ebf3b2e327b45c8a111ad031500c7249b33f083f51c6806941b1bac5
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