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
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
license: creativeml-openrail-m language:
- en tags:
- text-to-image
- stable-diffusion
- stable-diffusion-diffusers
#datasets: #- Name/name inference: true widget:
- text: disc demon
- text: disc demon
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