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README.md
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license: apache-2.0
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base_model:
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- black-forest-labs/FLUX.1-dev
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license: apache-2.0
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base_model:
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- black-forest-labs/FLUX.1-dev
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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widget:
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- text: WSJ Portrait, a black and white drawing of a bill gates. <lora:wsj-portrait:1>
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output:
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url: Images/00006-3187709952.png
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- text: WSJ Portrait, a black and white drawing of a Jack ma wearing a suit and tie <lora:wsj-portrait:1>
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output:
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url: Images/00018-2381001012.png
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- text: WSJ Portrait, a black and white drawing of a Elon Musk wearing a suit and tie <lora:wsj-portrait:1>
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output:
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url: Images/00017-3585155515.png
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- text: WSJ Portrait, a black and white drawing of a a man with a bald head <lora:wsj-portrait:1>
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output:
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url: Images/00019-2169715123.png
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- text: WSJ Portrait, a black and white drawing of a President Donald Trump wearing a suit and tie <lora:wsj-portrait:1>
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output:
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url: Images/00016-2235137954.png
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- text: WSJ Portrait, a black and white drawing of a bill gates. <lora:wsj-portrait:1>
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output:
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url: Images/00013-525225866.png
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- text: WSJ Portrait, a black and white drawing of a bill gates. <lora:wsj-portrait:1>
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output:
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url: Images/00013-525225866.png
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---
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# WSJ Hedcut
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<Gallery />
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## Trigger words
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<b><i>'WSJ Portrait, a black and white drawing of a'<i><b>
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## Model description
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The "WSJ headcut" refers to a distinctive illustration style used by The Wall Street Journal (WSJ) to portray individuals, particularly in their editorial sections. These portraits, called "hedcuts," are black-and-white, stipple-style drawings created using dots and dashes to mimic the look of traditional woodcut engravings.
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The WSJ headcuts have become iconic since they first appeared in 1979. The stippling technique adds texture and depth, giving the portraits a unique, timeless quality. They are often used in place of photographs to highlight notable figures in the news, including business executives, political leaders, and cultural icons.
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For best optimized results use Webui-Forge
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Model : flux1-dev-bnb-nf4-v2.safetensors
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https://huggingface.co/lllyasviel/flux1-dev-bnb-nf4/blob/main/flux1-dev-bnb-nf4-v2.safetensors
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Chose Diffusion in Low Bits >> bnb-nf4 (fp16 LoRA)
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/tanzim1/WSJ-Hedcut/tree/main) them in the Files & versions tab.
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