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:
- 4d23e40f4cdab4ec0893b4e9083e1d46851f97b5c65ae28996296ef9d58c52de
- Size of remote file:
- 2.13 GB
- SHA256:
- 224a9ab1e4f64f8aa8695c5fdf4233dbd57aa222e9660240c0e4681b3bc68d18
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