Instructions to use Norod78/SD15-IllusionDiffusionPattern-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norod78/SD15-IllusionDiffusionPattern-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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Norod78/SD15-IllusionDiffusionPattern-LoRA") prompt = "Wonderwoman IllusionDiffusionPattern" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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Trained upon the "high contrast" suffixed images in [Norod78/microsoft-fluentui-emoji-512-whitebg](https://huggingface.co/datasets/Norod78/microsoft-fluentui-emoji-512-whitebg)
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# Intended use
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Generate input pattern images to be used with [qrcode_monster](https://huggingface.co/monster-labs/control_v1p_sd15_qrcode_monster)
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# Examples
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Trained upon the "high contrast" suffixed images in [Norod78/microsoft-fluentui-emoji-512-whitebg](https://huggingface.co/datasets/Norod78/microsoft-fluentui-emoji-512-whitebg)
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# Intended use
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* Generate input pattern images to be used with [qrcode_monster](https://huggingface.co/monster-labs/control_v1p_sd15_qrcode_monster)
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* Use LoRA scale weights in the range of around 0.5 to 0.8
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# Examples
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