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
- Draw Things
- DiffusionBee
- Xet hash:
- 360b6c9b54fb9d27d8c25e098589d2e4a08e83dc2901bff224e9f8d9694abf21
- Size of remote file:
- 3.46 GB
- SHA256:
- ca56fac39411e7f19669d6e978ddc7c54394e73832f22877f48a6f94b1b66d73
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