Instructions to use MirageML/DiscDemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/DiscDemon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MirageML/DiscDemon", 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. (#5)
- Add `scale_factor` to vae config. (7d6ff5235ec09ece0c095b141dbda47d2ea8d8f5) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>dd55837
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Create README.md (#4)
- Create README.md (5f8ebfecbf7b729ff6dc53548c45e8f1d4ed532d) Co-authored-by: Sean Westwood <SuperScoobyDoo@users.noreply.huggingface.co>f76a69a -
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