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", torch_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
- Xet hash:
- 01f6ca4a0ab1ef6284837d9551240f9074c94d746bc28c2cf695e817f8a26df9
- Size of remote file:
- 3.44 GB
- SHA256:
- 98d5801a501a1ef3ab69d7352e9b2adc8917159b69af42beed30f1e3ae0f50a1
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