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
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**Lomo Diffusion**
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[*CKPT DOWNLOAD LINK*](https://huggingface.co/wavymulder/collage-diffusion/resolve/main/collage-1.0.ckpt)
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This is a dreambooth model trained on collage images.
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**Lomo Diffusion**
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[*CKPT DOWNLOAD LINK*](https://huggingface.co/wavymulder/collage-diffusion/resolve/main/collage-1.0.ckpt) - - - [*SAFETENSORS DOWNLOAD LINK*]( LINK TO BE ADDED )
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This is a dreambooth model trained on collage images.
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