Instructions to use Korakoe/Melrose-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Korakoe/Melrose-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("Korakoe/Melrose-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
Commit History
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (470bba2c0d757c558e9dd6a93d66641672736c89) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>a7137db
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Update README.md
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Upload diffusion_pytorch_model.bin
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Delete vae/diffusion_pytorch_model.bin
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pt - camenduru/converter
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Update readme with merge details
Korakoed0de27b -
Upload Safetensors Model
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initial commit
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