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
Download checkpoint-4000/scheduler.bin from Gurusha/sd-hand-model-lora-sdxl_text_encoder: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/Gurusha/sd-hand-model-lora-sdxl_text_encoder/resolve/main/checkpoint-4000/scheduler.bin
- Command line
-
hf download hf://Gurusha/sd-hand-model-lora-sdxl_text_encoder/checkpoint-4000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/Gurusha/sd-hand-model-lora-sdxl_text_encoder/resolve/main/checkpoint-4000/scheduler.bin
563 Bytes
- Xet hash:
- 3c4fac282a493abb64901a157eed3349f967608df6bd08a56e38cc40a3cbe04a
- Size of remote file:
- 563 Bytes
- SHA256:
- 17570159eb7533dcd35951bf4d7776b47b2ceaa4da9d57d1a5d70145006a2a1e
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