Instructions to use Gurusha/sd-hand-model-lora-sdxl_text_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gurusha/sd-hand-model-lora-sdxl_text_encoder 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-sdxl_text_encoder") 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
- Xet hash:
- 38c46ae38222dceffdca3ebd1596c2e2a30dfdc0ba134e2d951101600626b465
- Size of remote file:
- 60.3 MB
- SHA256:
- 1c2beb9a4583aa7128d28e83d2036b3521021fb7103a436bf83b7ccf88ab3e77
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