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:
- 35d9027e5a1e8f9cede74118713899a315302c73c1ebcb2653873cd555adf7f9
- Size of remote file:
- 60.3 MB
- SHA256:
- cd548c08f6bda5d27033e9a9796ad750e754fcd2533e8e4261576c38c8d35820
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