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Upload folder using huggingface_hub

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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:95ec10884457ca63ac56408c136419028e9b22ac35deb98b46cad5d017c74c84
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+ size 228458884
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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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+ - graffiti
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+ - style
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+ - sticker
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+ - protoart
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+ - graffiti sticker
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+
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt:
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+ widget:
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+ - text: ' '
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+
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+ output:
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+ url: >-
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+ 19350238.jpeg
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+ - text: ' '
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+
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+ output:
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+ url: >-
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+ 19348667.jpeg
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+ - text: ' '
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+ output:
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+ url: >-
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+ 19350624.jpeg
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+ - text: ' '
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+ output:
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+ url: >-
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+ 19348666.jpeg
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+ - text: ' '
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+
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+ output:
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+ url: >-
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+ 19348665.jpeg
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+
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+ ---
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+
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+ # Graffiti Sticker XL
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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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+ ## Model description
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+
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+ <p>whats up yall, here is an updated version of my graffitti sticker </p>
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+
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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/graffiti-sticker-xl/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('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('brushpenbob/graffiti-sticker-xl', weight_name='Graffiti_Sticker_XL.safetensors')
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+ image = pipeline('Your custom prompt').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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+