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:
- 4adf71c85746ad017bfd299cbd1f2a684cfb3b0a8a700705c27b2632f10c0009
- Size of remote file:
- 988 Bytes
- SHA256:
- 41216328ab75de937007afb04d76156949bedb908461001a451c8991c2ba8cca
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