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- README.md +94 -0
- depth_of_field_slider_v1.safetensors +3 -0
.gitattributes
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Git LFS Details
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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=True
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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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- depth of field
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- tool
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- dof
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- blurry background
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- focus
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base_model: runwayml/stable-diffusion-v1-5
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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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output:
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url: >-
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2221993.jpeg
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- text: 'photo of a man smiling in the forest, beard '
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parameters:
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negative_prompt: cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
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output:
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url: >-
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2222002.jpeg
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- text: 'photo of a man smiling in the forest, beard '
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parameters:
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negative_prompt: cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
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output:
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url: >-
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- text: 'photo of a woman with light brown hair, posing for a photo, centered streets of big city '
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parameters:
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negative_prompt: hat, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
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output:
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url: >-
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- text: 'photo of a woman with light brown hair, posing for a photo, centered streets of big city '
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parameters:
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negative_prompt: hat, nude, cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
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output:
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url: >-
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2222008.jpeg
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---
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# Depth of Field Slider - LoRA
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<Gallery />
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## Model description
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<ul><li><p>weight: <strong>-8.0 to 8.0 </strong><em>( or way more or less )</em></p></li><li><p>positive: <strong>large DOF (sharp background)</strong></p></li><li><p>negative: <strong>narrow DOF (blurry background)</strong></p></li></ul><p></p><p>UPDATE:</p><p>The original file had an sdxl meta tag that makes automatic1111 web ui only show it for sdxl. I have uploaded one with the correct meta tag. If you are having issues, download and replace the previous one with the new one and refresh your network modules.</p><p></p><p>Weight depends on starting photo, if it already has a shallow depth of field, you may need to go pretty high to remove it (10.0 to 15.0), but -5.0 to 5.0 works for most images. The image stays pretty stable even at extreme values, though it will change the composition.</p><p></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](/ostris/depth-of-field-slider-lora/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('ostris/depth-of-field-slider-lora', weight_name='depth_of_field_slider_v1.safetensors')
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image = pipeline('photo of a woman with light brown hair, posing for a photo, centered streets of big city ').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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depth_of_field_slider_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5095fbcc66b6600ec597ef712f8f8a40e338c50b2d6f9e62608df76f5077a95
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size 6434616
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