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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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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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+ - lora
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+ - flux
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+ - diffusers
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+ - image-generation
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+ pipeline_tag: text-to-image
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+ library_name: diffusers
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+ instance_prompt: >-
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+ Edouard Chimot style print illustration, early 1900s French stylized realistic erotic art, illustration by Édouard Chimot, extremely detailed print illustration, The composition showcases both elegance and everyday life,
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+ intricate, realistic pencil and pen shading, Symbolism
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+ ---
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+ ## Édouard Chimot Style Flux LoRA
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+ ## HISTORIC 𝒜𝓡𝒯𝚒𝕤𝕥 STYLE ℒ𝓸ℜ𝐴𝘴
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+ ## ||| By SilverAgePoets.com |||
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+
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+ A Low-Rank Adapter (LoRA) for FLUX-family models... <br>
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+ Fine-tuned on around 40 artworks ... <br>
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+ Conjuring the eerie erotic realism of the accomplished truth-pursuing French artist, print/poster-maker, & literary illustrator... <br>
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+ Today perhaps best known for uncannily illustrating several editions of poet Charles Baudelaire's seminal versebook *"Les Fleurs Du Mal" ("Flowers of Evil")*: <br>
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+ **Édouard Chimot** *(1880-1959)*. <br>
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+
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+ <Gallery />
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+
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+ ## Prompt with:
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+ Scribble `Edouard Chimot style print illustration, early 1900s French stylized realistic erotic art, illustration by Édouard Chimot, extremely detailed print illustration, The composition showcases both elegance and everyday life, intricate, realistic pencil and pen shading, Symbolism ` to revitalalize through yearned-for reveries over elegantly unsheathed timeless forms your generative inspiration's inevitably wilting flowers... <br>
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+
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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('AlekseyCalvin/Chimot_Edouard_style_FluxLoRA_bySilverAgePoets')
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+ image = pipeline('your prompt').images[0]
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+ ```