bingbangboom
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Update README.md
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README.md
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![Output 1](./outputs/1.png)
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LoRA that works with Flux models.
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*HIHP Style, A vivid photo of a cozy, vintage-styled room. The main subjects are two illustrated characters, prominently positioned in the foreground. one animated character is a cute little bunny who is is blue with large, round eyes and is interacting with a little girl, who is dressed in a green dress. They are both seated on a patterned rug, playing with a ball. The room is adorned with a variety of decor items, including a television set, a table with a vase of flowers, and a bed with a white comforter. The walls are decorated with floral wallpaper and sheer curtains. The color palette is warm, dominated by earthy tones, with pops of vibrant colors from the characters' clothing.*
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## Trigger words
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![Output 1](./outputs/1.png)
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LoRA that works with Flux models. You can stylize characters/objects while keeping everything else realistic.
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Works best with DEV version. However the examples shown above are from flux1-dev-bnb-nf4-v2.safetensors. DO NOT FORGET to include the trigger phrase *HIHP Style* and add *animated* before the subject you want see in a stylised form. Also, including *closeup* in the prompt improves the general quality of the output. An example prompt may look like this:
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*HIHP Style, A vivid photo of a cozy, vintage-styled room. The main subjects are two illustrated characters, prominently positioned in the foreground. one animated character is a cute little bunny who is is blue with large, round eyes and is interacting with a little girl, who is dressed in a green dress. They are both seated on a patterned rug, playing with a ball. The room is adorned with a variety of decor items, including a television set, a table with a vase of flowers, and a bed with a white comforter. The walls are decorated with floral wallpaper and sheer curtains. The color palette is warm, dominated by earthy tones, with pops of vibrant colors from the characters' clothing. closeup image.*
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The LoRA is a bit under-cooked atm so I am looking forward to identify precisely where it is lacking and improve the LoRA accordingly.
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## Trigger words
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