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:
- c1f8a62d70f6401b512c11f0ba8514f669bd20bca1d1fca2b86d632081d5e815
- Size of remote file:
- 5.14 GB
- SHA256:
- 750375ca2d7d3ba5e659b4c8ecac2c671d4a7bdfbbf68922d056ab2e3be1f30c
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