Instructions to use flax/Arcane-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/Arcane-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/Arcane-Diffusion", 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_flax_model.msgpack from flax/Arcane-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/flax/Arcane-Diffusion/resolve/main/vae/diffusion_flax_model.msgpack
- Command line
-
hf download hf://flax/Arcane-Diffusion/vae/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/flax/Arcane-Diffusion/resolve/main/vae/diffusion_flax_model.msgpack
335 MB
- Xet hash:
- 2b1ef8b0d016b1d6887956485e6c3e7e1f840fd3fe01d4901004cde214843ae7
- Size of remote file:
- 335 MB
- SHA256:
- c273320ae68c9c1c6bc20fe22a7516c7e598a3fcab42ea010c7eeb77f1b7d070
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