Instructions to use JCTN/JCTN_LORAxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JCTN/JCTN_LORAxl 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("JCTN/JCTN_LORAxl") prompt = " boogers, free tissue inside" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download DoubleExposure.webp from JCTN/JCTN_LORAxl: direct link, hf CLI and curl.
- Browser
- Download file 30.9 kB
-
https://huggingface.co/JCTN/JCTN_LORAxl/resolve/main/DoubleExposure.webp
- Command line
-
hf download hf://JCTN/JCTN_LORAxl/DoubleExposure.webp
-
curl -L -o DoubleExposure.webp https://huggingface.co/JCTN/JCTN_LORAxl/resolve/main/DoubleExposure.webp
30.9 kB
