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:
- 0fc235a242d02405dc05446e124d21b32b967ecad13b3b8ea6d149dc46202d27
- Size of remote file:
- 148 MB
- SHA256:
- 7e14293b17ed1d24b576d27448e2a5c2c5fda054e2ff4f7ce0e73c73525c73f7
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