Instructions to use jwhe/09097_00 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jwhe/09097_00 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jwhe/09097_00") prompt = "a photo of A woman wearing sks T-shirt on the upper part of her body" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 64a048afe84d0da0d07b2d56a675c0c2053db3fcab7dadd5e4c34eb85aecc86c
- Size of remote file:
- 6.59 MB
- SHA256:
- 85c50b0f708bb6282f5dc725ec541d98d6060e30028f5838c4e00c3b86610157
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