Instructions to use haoningwu/MRGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use haoningwu/MRGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("haoningwu/MRGen", torch_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:
- 5f2d7e297fb687d095e8d57aeccce9551a88a360e5837a4450409e8e60c49bb6
- Size of remote file:
- 335 MB
- SHA256:
- 9eb7d0e0e2f647d82f02eb285d8fb885b1247d1ec9342c5770855a27809ec6f8
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