Create README.md
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README.md
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---
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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language:
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- en
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tags:
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- flux
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- diffusers
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- lora
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base_model: black-forest-labs/FLUX.1-schnell
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pipeline_tag: text-to-image
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instance_prompt: bad taxidermist style
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library_name: diffusers
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inference:
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parameters:
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width: 1024
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height: 1024
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widget:
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- text: >-
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This image is a simplified, TSTVCTR vector-style portrait of a person with
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distinct cartoonish features. The man is wearing a gray hat and black-framed
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glasses. He has a thick, neatly trimmed beard and mustache. A playful touch
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is added by a small blue flower with a pink center placed behind his right
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ear. His expression is neutral, with a hint of warmth in his eyes and a
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faint smile. The background is a solid pale yellow, providing a calm,
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minimalistic backdrop that contrasts with the bold, dark colors of his beard
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and glasses. He is dressed in a simple green shirt, which matches the clean,
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modern, and flat art style of the image. The overall feel of the
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illustration is lighthearted and modern, with geometric lines and a focus on
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smooth, flat shapes. The flower adds a fun and quirky element to the
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otherwise calm and straightforward portrayal.
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output:
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url: images/example_wyd3vx781.png
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---
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# Flux Bad Taxidermist
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## Trigger words
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You should use `bad taxidermist style` to trigger the image generation.
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<Gallery />
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('lichorosario/flux-lora-bad-taxidermist', weight_name='lora.safetensors')
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image = pipeline('your prompt').images[0]
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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