Instructions to use Gurusha/sd-hand-model-lora-sdxl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gurusha/sd-hand-model-lora-sdxl2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Gurusha/sd-hand-model-lora-sdxl2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3000/optimizer.bin from Gurusha/sd-hand-model-lora-sdxl2: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/Gurusha/sd-hand-model-lora-sdxl2/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://Gurusha/sd-hand-model-lora-sdxl2/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Gurusha/sd-hand-model-lora-sdxl2/resolve/main/checkpoint-3000/optimizer.bin
47.4 MB
- Xet hash:
- 043220bcc2365d49ca16a0f03aedd15674ac997abea5a0070a193efd47ec3811
- Size of remote file:
- 47.4 MB
- SHA256:
- da6c1b227f9c56066d7449ac440272d9b7a20f4478f2bea3c6a648ba53d31be3
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