Instructions to use duja1/collage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use duja1/collage2 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/collage2", dtype=torch.bfloat16, device_map="cuda") prompt = "c123ollage2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e6c63e48a1880af8d1b23c4eaee3913f0bd20fec8796be235b50b0448568deaf
- Size of remote file:
- 492 MB
- SHA256:
- cf1b2186fbdf03b6b8a6c0ff3f42ed0cd9762b2f9d6660dd9456277244c47c80
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