Instructions to use DeverStyle/Krea-2-Premium-Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeverStyle/Krea-2-Premium-Loras with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DeverStyle/Krea-2-Premium-Loras") prompt = "Style transfer samples" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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- diffusers
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- template:diffusion-lora
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widget:
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- output:
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url: samples/blue_eye_samurai_samples.png
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text: 'Blue Eye Samurai samples'
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their [100 step abominations](https://huggingface.co/ilkerzgi/fal-Krea-2-Style-LoRAs) "style" LORAs, I had to adapt and somehow distance myself from that, so here we are:
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Dever's Krea 2 Turbo Premium Style LORAs that were not trained in under 2 minutes to spam HuggingFace. Rant over.
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#### Blue Eye Samurai style
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Use `dvr_bes_style, ... your prompt ...`
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- diffusers
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- template:diffusion-lora
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widget:
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- output:
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url: samples/Count_BinFace_samples.png
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text: 'Count BinFace samples'
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- output:
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url: samples/blue_eye_samurai_samples.png
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text: 'Blue Eye Samurai samples'
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their [100 step abominations](https://huggingface.co/ilkerzgi/fal-Krea-2-Style-LoRAs) "style" LORAs, I had to adapt and somehow distance myself from that, so here we are:
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Dever's Krea 2 Turbo Premium Style LORAs that were not trained in under 2 minutes to spam HuggingFace. Rant over.
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#### Count BinFace character
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Use `Count BinFace` as the trigger. [Who is Count BinFace ?](https://en.wikipedia.org/wiki/Count_Binface)
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#### Blue Eye Samurai style
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Use `dvr_bes_style, ... your prompt ...`
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