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-8000/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-8000/scheduler.bin
- Command line
-
hf download hf://Gurusha/sd-hand-model-lora-sdxl_text_encoder/checkpoint-8000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/Gurusha/sd-hand-model-lora-sdxl_text_encoder/resolve/main/checkpoint-8000/scheduler.bin
563 Bytes
- Xet hash:
- d0b813d77ce162df9fa7ca39a1d44f9dcd99c48eb8db67510bc357317d699694
- Size of remote file:
- 563 Bytes
- SHA256:
- e5d39e126443786c17d5a9a04eebe4d2d1a5e7f47a854a33d16fd71a8b761904
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.