Instructions to use darasuke/animix_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darasuke/animix_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("darasuke/animix_diffusers", 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 vae/diffusion_pytorch_model.bin from darasuke/animix_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/darasuke/animix_diffusers/resolve/d45b711f2ef2285adb57e982d98d8fe95af77b60/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://darasuke/animix_diffusers@d45b711f2ef2285adb57e982d98d8fe95af77b60/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/darasuke/animix_diffusers/resolve/d45b711f2ef2285adb57e982d98d8fe95af77b60/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- edd42799603a81ef80834bc04cd8f6d88898d5e2ddca4680547c40f9fcb8445f
- Size of remote file:
- 335 MB
- SHA256:
- 4a97c5b4d9397d8c84424ac9b39b90ba221715966a7c1e5b84094058a5744c40
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