Instructions to use ThinkDiffusion/ThinkDiffusionXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ThinkDiffusion/ThinkDiffusionXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ThinkDiffusion/ThinkDiffusionXL", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 67a15406c057e16e9d4d25789701501b3515dab4b0c0c8c2a57f14dd7781b289
- Size of remote file:
- 335 MB
- SHA256:
- 7c78d879e9003a621be1c7d98c244467b9599d252823fec5ab538475424b8d82
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