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
- Draw Things
- DiffusionBee
- Xet hash:
- a3cc1bd7123acf824468a98250eb1e4774f1af0f0c8af656596ee5e0d9485d46
- Size of remote file:
- 3.28 MB
- SHA256:
- b152c6e177d550913bca5e247560b320be61dcc214a308568c81ca3e0783b13a
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