Instructions to use MirageML/ScoobyDoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/ScoobyDoo 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/ScoobyDoo", 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
- Xet hash:
- 5327b48929cf85363c82a5b2a3cd814602cc04ba46f179fd0c911b46ec8494bd
- Size of remote file:
- 1.36 GB
- SHA256:
- cf4847e4c1d7910a6753ec7258ca57da09bcc42f600a42095b67c0f86ae10ce6
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