Instructions to use minimaxir/sdxl-ugly-sonic-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use minimaxir/sdxl-ugly-sonic-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("minimaxir/sdxl-ugly-sonic-lora") prompt = "sonic the hedgehog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
example 7
Browse files- README.md +4 -0
- img/example7.webp +0 -0
README.md
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@@ -67,6 +67,10 @@ For all generations, the negative prompt used is `blurry, low quality`. Prompt w
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## Methodology
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This LoRA was trained on frame-by-frame analysis of the [original 1080p trailer](https://www.youtube.com/watch?v=4mW9FE5ILJs) featuring "Ugly Sonic". Square-crops of Ugly Sonic were extracted and AI-upscaled to 1024x1024 for optimial training.
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`(hyperrealistic tall human)+++ sonic the hedgehog cameoing in an (episode of Friends)+++++, high quality hyperrealistic promotional photo` (cfg = 13)
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## Methodology
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This LoRA was trained on frame-by-frame analysis of the [original 1080p trailer](https://www.youtube.com/watch?v=4mW9FE5ILJs) featuring "Ugly Sonic". Square-crops of Ugly Sonic were extracted and AI-upscaled to 1024x1024 for optimial training.
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img/example7.webp
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