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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=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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- skeleton |
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- style |
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- the protoart |
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base_model: runwayml/stable-diffusion-v1-5 |
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instance_prompt: Skeleton_style |
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widget: |
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- text: ' ' |
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output: |
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url: >- |
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9549711.jpeg |
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- text: ' ' |
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output: |
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url: >- |
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9554060.jpeg |
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- text: ' ' |
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output: |
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url: >- |
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9550713.jpeg |
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--- |
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# transparent 2.0 |
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<Gallery /> |
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## Model description |
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<p>Somewhat of a remake of my original <a target="_blank" rel="ugc" href="https://civitai.com/models/64345?modelVersionId=68939">transparent </a>model, this one's focused on skeletons. I haven't added any additional things to the dataset like vehicles or environments as again this is focused on people.</p><p></p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div><p></p> |
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## Trigger words |
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You should use `Skeleton_style`, `Skeleton` 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/transparent-2-0/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/transparent-2-0', weight_name='transparent_2.0.safetensors') |
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image = pipeline('`Skeleton_style`, `Skeleton`').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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