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---
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license: other
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license_name: bespoke-lora-trained-license
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license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
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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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- migrated
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- vintage
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- style
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- vintage style
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: Vintage cover
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widget:
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- text: ' '
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output:
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---
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# Vintage Cover [FLUX]
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<Gallery />
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([CivitAI](https://civitai.com/models/))
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## Model description
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<p>An attempt to train a "Vintage cover" style Flux LoRA (I think I did a better job with the <a rel="ugc" href="https://civitai.com/models/141048/sdxl-vintage-magazine-style-lora">SDXL version</a>)</p><p>Use 'Vintage cover' in your prompts</p>
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## Trigger words
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You should use `Vintage cover` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/Norod78/vintage-cover-flux/tree/main) them in the Files & versions tab.
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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('Norod78/vintage-cover-flux', weight_name='b0f2d15fd0d2413bbd1aa12b1dbb4b69_lora.safetensors')
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image = pipeline('`Vintage cover`').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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version https://git-lfs.github.com/spec/v1
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oid sha256:bfce1f161549f73fcd7ea149dcfac95aab7a0881b7db851ba0e6781f72e83833
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size 43090672
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