Instructions to use flax/Inkpunk-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/Inkpunk-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/Inkpunk-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/Inkpunk-Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/flax/Inkpunk-Diffusion/resolve/main/vae/diffusion_flax_model.msgpack
- Command line
-
hf download hf://flax/Inkpunk-Diffusion/vae/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/flax/Inkpunk-Diffusion/resolve/main/vae/diffusion_flax_model.msgpack
335 MB
- Xet hash:
- 0e98ef848c6b8bbc9bfde77c2227f1b9cbc817e9a9832b17535d532042cff885
- Size of remote file:
- 335 MB
- SHA256:
- b0ed124b85f91d1288b6841edbfeb0ceba29bf19716a446ad334e6ee469014e3
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