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B-LORA We Happy Few Content/Style

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Portrait of a young man with a chiseled jawline, emerald green eyes, and tousled brown hair. He wears a Greek warrior's armor and stands on a cliff overlooking the Aegean Sea. he is holding a sign saying "AIEasyPic"
Portrait of a young man with a chiseled jawline, emerald green eyes, and tousled brown hair. He wears a Greek warrior's armor and stands on a cliff overlooking the Aegean Sea. he is holding a sign saying "AIEasyPic"
Portrait of a young man with a chiseled jawline, emerald green eyes, and tousled brown hair. He wears a Greek warrior's armor and stands on a cliff overlooking the Aegean Sea. he is holding a sign saying "AIEasyPic"
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Model Description by Creator

B-LORA sliced twice, Content (composition) and Style. I was bored AF and cooked some ComfyUI workflow, which has proven to be extremely efficient and flexible. I think there is no better way for style transfer. Separate Lora load for composition and style, samplers latents decoding vae and straight into IPAdapter Style & Composition SDXL, than sampling and (only if you megalomaniac like me) applying third Lora, which is trained separately with Dreambooth method (trigger + class). I will share ComfyUI workflow, make sure you know how to rename clip vision and ip adapter models, cause i use Unified loader for IP adapter.

All captions used for training + comfyUI workflows here:
https://drive.google.com/drive/folders/1FFS4CnX3RI4B1yhzwqrlEwLd_QGpuYCZ?usp=sharing

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