brushpenbob
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Browse files- 19348665.jpeg +0 -0
- 19348666.jpeg +0 -0
- 19348667.jpeg +0 -0
- 19350238.jpeg +0 -0
- 19350624.jpeg +0 -0
- Graffiti_Sticker_XL.safetensors +3 -0
- README.md +81 -0
19348665.jpeg
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Graffiti_Sticker_XL.safetensors
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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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README.md
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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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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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output:
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url: >-
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- text: ' '
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output:
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url: >-
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output:
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url: >-
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- text: ' '
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output:
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url: >-
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- text: ' '
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output:
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url: >-
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---
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# Graffiti Sticker XL
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<Gallery />
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## Model description
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<p>whats up yall, here is an updated version of my graffitti sticker </p>
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/brushpenbob/graffiti-sticker-xl/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('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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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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