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- Rubber_Duck_SD1.5-000009.safetensors +3 -0
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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=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: ' '
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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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# 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)
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac6485b85b989e456d5f2fb9d8480d7fe8e1a6b26eebfc8bf6e4885084510e17
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size 19009640
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