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
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https://civitai.com/models/124347?modelVersionId=148870
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https://civitai.com/models/137963/oilpaint-sdxl
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https://civitai.com/models/124347?modelVersionId=148870
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https://civitai.com/models/137963/oilpaint-sdxl
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https://civitai.com/models/140335/sdxl-paint-splash-style
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