brushpenbob
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- Protocal.safetensors +3 -0
- README.md +69 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9adf577389d71f45514af487ee292c6644a24199b8dcf0f1359c1298e8256e5e
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size 37928960
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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=False&allowCommercialUse=RentCivit&allowDerivatives=False&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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- post apocalyptic
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- samurai
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- tactical
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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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- text: ' '
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output:
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url: >-
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6761010.jpeg
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- text: ' '
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output:
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url: >-
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---
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# Protocal
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<Gallery />
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## Model description
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<p>This is somewhat a remake of my Kalakaua model from the ground up.</p><p></p><p>Great for creating heroes with a Cell shaded inspired look.</p><p></p><p>The merge option is of the <a target="_blank" rel="ugc" href="https://civitai.com/api/download/models/347413">New LoRa</a> with the previous <a target="_blank" rel="ugc" href="https://civitai.com/models/86618/frankcalico-6000">calico 6000 model,</a> giving it even more emphasis on the sharp edges and cell shading look.</p><p>The training data included a good amount of images of cowboys and samurai with weapons so those would be a good idea to include in the prompt.</p><p>--use words like </p><p>"post apocalyptic" </p><p>"Vagabon" </p><p> "samurai" </p><p>"tactical clothing"</p><p></p><p>for the look and use words like--</p><p>"wide shot" </p><p>"medium shot" </p><p>"upper body torso"</p><p>"full body shot"</p><p>"white background"</p><p>for the view </p><p> would be good to give you that dynamic range of images of close to the character or full body shots.</p><p>Because of how it is merged, you may get a "halo" so you might want to negative prompt something to that effect to reduce that a bit</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](/brushpenbob/protocal/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/protocal', weight_name='Protocal.safetensors')
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image = pipeline('Your custom prompt').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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