Instructions to use keimen/IMAGGarment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keimen/IMAGGarment with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("keimen/IMAGGarment", 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:
- 0c030f8a1c589fa1bcd32782979c81504f991913240739aad6cf3a0fe1e9211c
- Size of remote file:
- 89.3 MB
- SHA256:
- dfc4fa90f90736cf38347fc72b2860705bccf0e5088a5f45bc8592ad6aeb12bb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.