Instructions to use ShineChen1024/DualViewFashion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShineChen1024/DualViewFashion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShineChen1024/DualViewFashion", 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
Commit History
-
Upload folder using huggingface_hub
Verified signature97a415a -
Upload folder using huggingface_hub
Verified signature2bf0ea6 -
Upload folder using huggingface_hub
Verified signaturefed6fc2 -
Remove training state files (optimizer, scheduler, random_states)
Verified signature334fc5d -
Delete train.log with huggingface_hub
Verified signature454f57e -
Upload folder using huggingface_hub
Verified signature47e7268 -
Upload folder using huggingface_hub
Verified signature928216d -
Upload folder using huggingface_hub
d6c9391 -
Upload folder using huggingface_hub
bc586a5 -
initial commit
880ce9c