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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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base_model: runwayml/stable-diffusion-v1-5 |
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instance_prompt: graffiti_sticker |
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widget: |
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- text: ' ' |
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output: |
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url: >- |
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9305169.jpeg |
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- text: ' ' |
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output: |
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url: >- |
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9305029.jpeg |
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- text: ' ' |
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output: |
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url: >- |
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9315678.jpeg |
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--- |
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# graffiti_2024 |
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<Gallery /> |
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## Model description |
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<p>Use words like "graffiti" "graffiti art", or urban art to trigger the model</p><p></p><p></p> |
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## Trigger words |
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You should use `graffiti_sticker`, `graffiti` 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](/brushpenbob/graffiti-2024/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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda') |
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pipeline.load_lora_weights('brushpenbob/graffiti-2024', weight_name='graffiti_2024.safetensors') |
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image = pipeline('`graffiti_sticker`, `graffiti`').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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