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
Download checkpoint-200/optimizer.bin from jwhe/09097_00: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/jwhe/09097_00/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://jwhe/09097_00/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jwhe/09097_00/resolve/main/checkpoint-200/optimizer.bin
6.59 MB
- Xet hash:
- f1a27ba3761b7558bdaa969cdf89d647a641099d745d7cc2b00438c4f359d408
- Size of remote file:
- 6.59 MB
- SHA256:
- 594a45ae6afa9cd0883f6b4c82e3f3b9e751bbf898a51b5ae6c94af497be2492
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