| license: other | |
| license_name: bespoke-lora-trained-license | |
| license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| - migrated | |
| - post apocalyptic | |
| - samurai | |
| - tactical | |
| base_model: runwayml/stable-diffusion-v1-5 | |
| instance_prompt: | |
| widget: | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 6746206.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 6761010.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 6989996.jpeg | |
| # Protocal | |
| <Gallery /> | |
| ## Model description | |
| <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> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/brushpenbob/protocal/tree/main) them in the Files & versions tab. | |
| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) | |
| ```py | |
| from diffusers import AutoPipelineForText2Image | |
| import torch | |
| pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda') | |
| pipeline.load_lora_weights('brushpenbob/protocal', weight_name='Protocal.safetensors') | |
| image = pipeline('Your custom prompt').images[0] | |
| ``` | |
| 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) | |