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:
- 20d135acfbf09eccba8579d2f52e65c0bf135727062b7c2a0c020144f5d6d4cf
- Size of remote file:
- 1 kB
- SHA256:
- 673ee106494e80bd7254452368b4a8a9ef1ab34af463e19284b555963ef6efb4
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