Instructions to use maagic6/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maagic6/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maagic6/model", 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:
- f425a4adce671d0f035015044eda6a5440141454a51e4544d9787cae15f1896e
- Size of remote file:
- 3.44 GB
- SHA256:
- 3373891aaa173127621f13b80d21176eb842963f4f285774f57df6f2135f8de5
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