Instructions to use redaalert/diffusion_reda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use redaalert/diffusion_reda with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("redaalert/diffusion_reda", 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
- Xet hash:
- f856bbdb22cd49827557901e2be969d4fe7224fe4a69ee8bc3684cdfb5bceff9
- Size of remote file:
- 74.2 MB
- SHA256:
- b245e8798b005edf04cdbd391c5b82f594f537803e4b2385b9168611a381c0a4
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