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:
- bbc3eb965de48673d1b5c43d8ac5396a22af8eda371cbb64b0c5129c6a131518
- Size of remote file:
- 155 MB
- SHA256:
- 80fa74c964874242d1e19e7e4794357ab789a1fe74071c8faa4938e9457c0715
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