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
- Draw Things
- DiffusionBee
- Xet hash:
- e14d7cb077d56500cca75e2b48f338865ed9a4aa1e7f832130f5f9303406802a
- Size of remote file:
- 1.36 GB
- SHA256:
- 3bc6b8beb85ce45eb2b61225fe9ceb3e3b38f3d10e0027023b694aac49c8ee55
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