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
Commit History
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#3)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (a953bf7aa792510a9e222d8503cdfa9652da9aa2)453a0db
-
Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (48e01e40b837349949778301b954d4560d5e7d25) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>76e51ca
-
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (d76608bda49d2e248d7e23ff20043797486eeeef) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>71c2c5e
-
Update unet/config.json
8bad7b0
-
tags
e7666b7 -
tags
a397674 -
tags
cc77b02 -
flax
72debb0 -
flax
2b8bba2 -
flax
19d4212 -
flax
8811437 -
flax
6d807dc -
Update README.md
4003614 -
flax
dfbf557 -
flax
984b67b -
initial commit
be41ed6