Instructions to use TryStar/CloneDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TryStar/CloneDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TryStar/CloneDiffusion", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#6)
- Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (41ccb4b4886f14686de0140208771e7a3ab8113a) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>8cffadd
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Add Diffusers weights (#1)
- Add Diffusers weights (d51f913eb88228764cfbf59669bc9ccdb6790750) Co-authored-by: Ahsen Khaliq <akhaliq@users.noreply.huggingface.co>a025de8