Instructions to use cehongw/jacket_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cehongw/jacket_output with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cehongw/jacket_output", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> jacket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 775b4c830c28da0011f9cabd991daf8ea742162d3d4fb0ad216a7d5be64923a4
- Size of remote file:
- 76.7 MB
- SHA256:
- cc8cdc1e9fdaa96954d8c202b2a6bb79e0de8078b948a087751474fb99e7321c
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