Instructions to use XinRan-Tang/MM-Diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XinRan-Tang/MM-Diff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XinRan-Tang/MM-Diff", 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:
- 5ebd02c12851ce80fbffd7d4d077dd9d303ccb14c59adeb4a60bef80b12cf05b
- Size of remote file:
- 14.7 kB
- SHA256:
- 8b18a8ca45add34d05ff8a99e8f6a6fbd50a828e704bbfda8e752ac4ed5462b4
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