Instructions to use nob/lora-trained-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nob/lora-trained-xl 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("nob/lora-trained-xl") prompt = "sks fundus" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weights.bin from nob/lora-trained-xl: direct link, hf CLI and curl.
- Browser
- Download file 23.7 MB
-
https://huggingface.co/nob/lora-trained-xl/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://nob/lora-trained-xl/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/nob/lora-trained-xl/resolve/main/pytorch_lora_weights.bin
23.7 MB
- Xet hash:
- f1b4a6a3be1f73e3b16de7a334d659e25e3f802b755979b411d38e14386f2048
- Size of remote file:
- 23.7 MB
- SHA256:
- b24d4ffdc026b34d1a3d57deefad16b2e414d3bebc63d19e38d1410eccd019f1
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