Instructions to use stablediffusionapi/animixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animixed 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/animixed", 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/animixed: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/stablediffusionapi/animixed/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://stablediffusionapi/animixed/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/stablediffusionapi/animixed/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
167 MB
- Xet hash:
- 6a34f1a832339e502ddf961872d47c11f9dc87cd26282a8cb579ee620dfa831d
- Size of remote file:
- 167 MB
- SHA256:
- 1a08607e9d4f473d67a63070490db0c1e95b50d94789dc02b63851ace9a79d44
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