Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use AndyMacool/youzi_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AndyMacool/youzi_lora 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("AndyMacool/youzi_lora") prompt = "YOU12ZI" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-600/optimizer.bin from AndyMacool/youzi_lora: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/AndyMacool/youzi_lora/resolve/main/checkpoint-600/optimizer.bin
- Command line
-
hf download hf://AndyMacool/youzi_lora/checkpoint-600/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/AndyMacool/youzi_lora/resolve/main/checkpoint-600/optimizer.bin
15 MB
- Xet hash:
- d5e33cd3c74fe4e2ae3272e7f2691001731f350b35b407f973ffc77b17e91586
- Size of remote file:
- 15 MB
- SHA256:
- 201d6d1068e5c9513c3cfd24bb367bab5fdddafeec832d7eab7b45cbc2107a54
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