Instructions to use flax/stable-diffusion-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/stable-diffusion-2 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/stable-diffusion-2", 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 unet/diffusion_flax_model.msgpack from flax/stable-diffusion-2: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/flax/stable-diffusion-2/resolve/main/unet/diffusion_flax_model.msgpack
- Command line
-
hf download hf://flax/stable-diffusion-2/unet/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/flax/stable-diffusion-2/resolve/main/unet/diffusion_flax_model.msgpack
3.46 GB
- Xet hash:
- 360b6c9b54fb9d27d8c25e098589d2e4a08e83dc2901bff224e9f8d9694abf21
- Size of remote file:
- 3.46 GB
- SHA256:
- ca56fac39411e7f19669d6e978ddc7c54394e73832f22877f48a6f94b1b66d73
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