Instructions to use wavymulder/collage-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavymulder/collage-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavymulder/collage-diffusion", 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:
- 81d9cefcd9dd04252cb07bb9199d3e84c572aec9b602569cccbbaf4cec56d801
- Size of remote file:
- 492 MB
- SHA256:
- 64fa8fd2c2630e55ca47bec6c5f6be693f0c2faaadcc10d87debc62b0a10b109
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