Instructions to use xilluill/MAG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xilluill/MAG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xilluill/MAG", 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
- Xet hash:
- 373c36746059487921051a7f3517f8e414ffb94bcad9a80bc59fc2766197fd80
- Size of remote file:
- 196 MB
- SHA256:
- ff2baf0511c4055e70b5001673a1f8991807a26cf0bdf9e0f4672e079cf3388d
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