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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: >- |
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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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- concept |
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- duck |
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- rubber duck |
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base_model: runwayml/stable-diffusion-v1-5 |
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instance_prompt: Rubber duck |
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widget: |
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- text: Wonderwoman Rubber duck |
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output: |
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url: 18380848.jpeg |
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- text: The girl with a pearl earring Rubber duck |
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output: |
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url: 18380853.jpeg |
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- text: Albert Einstein Rubber duck |
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output: |
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url: 18380851.jpeg |
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datasets: |
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- Norod78/Rubber-Duck-blip-captions |
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--- |
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# Rubber Duck [SD1.5] |
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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>While SDXL is really good at out-of-the box generation of rubber ducks, SDv1.5 needs a little LoRA help. So here it is.</p><p>Use "Rubber duck" in your prompts.</p> |
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## Trigger words |
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You should use `Rubber duck` 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/rubber-duck-sd1-5/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('Norod78/rubber-duck-sd1-5', weight_name='Rubber_Duck_SD1.5-000009.safetensors') |
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image = pipeline('`Rubber duck`').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) |
