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:
- d6e24f3eaa1ca30f180e0d2fef248a67d9f95e240da66fa396dead397c108cda
- Size of remote file:
- 148 MB
- SHA256:
- c1b9cd82452004c92eb0ba2c780d02c89eae3fa8d34e1eb91c1b3df889ddbf02
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