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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=False&allowCommercialUse=RentCivit&allowDerivatives=False&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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+ - pencil
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+ - style
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+ - flux
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+
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: pencileg
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+ widget:
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+ output:
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+ ---
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+
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+ # Pencil Flux v1
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+
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+ <Gallery />
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+
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+
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+
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+
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+
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+ ## Model description
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+
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+ <p>Retrained my pencil model with the new flux base</p><p></p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div>
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+
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+ ## Trigger words
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+ You should use `pencileg` to trigger the image generation.
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+
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+
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+ ## Download model
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](/brushpenbob/pencil-flux-v1/tree/main) them in the Files & versions tab.
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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('brushpenbob/pencil-flux-v1', weight_name='pencil.safetensors')
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+ image = pipeline('`pencileg`').images[0]
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+ ```
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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 sha256:0a253945550458a289d8c953b0dbb67395cc8dc7bf3e21ead76cc1dccd6468db
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+ size 19273336