Instructions to use kadirnar/trained_cloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/trained_cloth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kadirnar/trained_cloth", dtype=torch.bfloat16, device_map="cuda") prompt = "This is a photo of the Fenerbahçe team's jersey." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 8ce06bc47f321f9c87e4665a89931e67d3138812b35d5aa8e219d92a36eb21a3
- Size of remote file:
- 1.3 MB
- SHA256:
- 19ce3d72d97cad6a6527704d14ab8c995d3a6b4eb5fe06d5337ee40c2db179b1
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