Instructions to use duja1/collage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use duja1/collage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("duja1/collage", dtype=torch.bfloat16, device_map="cuda") prompt = "c123ollage" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a6a99abc51ff086344149926bf26f1d545f3e8002f24f2b9d26f71947fdc23d5
- Size of remote file:
- 492 MB
- SHA256:
- a286c1116d3d4393a6d89f9c3d823d144825a2ca8a3b66581264bb89dbdb1e04
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