Instructions to use tonyzyl/DiffusionReconstruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tonyzyl/DiffusionReconstruct with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tonyzyl/DiffusionReconstruct", 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:
- c08bce253b8f176260a93cce8f4d7c338ad50e3b348a83f744b97a67aa1c6d6f
- Size of remote file:
- 126 MB
- SHA256:
- 747b692c07814d442d13c80c4b34799ea2e697dc200c90bdf83b553fd32f2065
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