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:
- ae2a401ebc3c82d4e07c9b402ba7127d7a3fa3feabaadcd9eb676d28a487a721
- Size of remote file:
- 60.3 MB
- SHA256:
- 6a56b03ad4b62f5ee81a8d15dec7984e67065ca2a8b1c61774134e4c9226d8ff
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