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- DD-vector-v2.safetensors +3 -0
- README.md +101 -0
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DD-vector-v2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4c8132f85ab7d75f5789eaf0054153a6011b505719f1253fb7d8837a498fe89
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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=Rent&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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- lineart
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- vector
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- simple
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- style
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- vector-art
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- vector art
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- complex
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- vector illustration
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- vector style
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: vector
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widget:
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---
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# Doctor Diffusion's Controllable Vector Art XL LoRA
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<Gallery />
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## Model description
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<p>This LoRA was trained exclusively on modified and captioned CC0/Pubic Domain images by myself! <br /><br />USE: "<strong>vector</strong>" with v2<br />or<br />"<strong>vctr artstyle</strong>" with v1</p><p><br /><strong><span style="color:rgb(219, 222, 225)">You can control the level of detail and type of vector art and if there are outlines with these prompts: </span></strong><br /><br />For <strong>color results</strong> use:<br />"<strong>simple</strong> details"<br />"<strong>complex </strong>details"<br />"<strong>outlines</strong>"<br />"solid color background"<br /><br />For <strong>black and white line art</strong> use:<br />"<strong>black line art</strong>"<br />"white background"<br /></p>
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## Trigger words
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You should use `vector` 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](/DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-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('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('DoctorDiffusion/doctor-diffusion-s-controllable-vector-art-xl-lora', weight_name='DD-vector-v2.safetensors')
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image = pipeline('`vector`').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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