Instructions to use stablediffusionapi/animeillustdiffusion2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animeillustdiffusion2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/animeillustdiffusion2", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.fp16.safetensors from stablediffusionapi/animeillustdiffusion2: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/animeillustdiffusion2/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://stablediffusionapi/animeillustdiffusion2/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/stablediffusionapi/animeillustdiffusion2/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
167 MB
- Xet hash:
- 32eb7d89fae4c7ac1e86303a45729c08f8472060a74e2e0b170f7722408e5802
- Size of remote file:
- 167 MB
- SHA256:
- 98bedbfab24749893a1939e549ddfa0354d133e2bcfc8496af6df4dc083b8a4c
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