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# TODO MODEL TITLE
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This is a copy of TODO MODEL TITLE, TODO CIVITAI LINK, converted to the ONNX format for use with tools that use ONNX models, such
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as https://github.com/ssube/onnx-web. If you have questions about using this model, please see
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https://github.com/ssube/onnx-web/blob/main/docs/user-guide.md#pre-converted-models.
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2023-12-22 17:24:02 +00:00
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FP16 WARNING: This model has been converted to FP16 format and will not run correctly on the CPU platform. If you are
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using the CPU platform, please use the FP32 model instead.
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As a derivative of TODO MODEL TITLE, the model files that came with this README are licensed under the terms of the TODO LICENSE. A copy
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of the license was included in the archive. Please make sure to read and follow the terms before you use this model or
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redistribute these files.
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2023-12-22 04:09:42 +00:00
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If you are the author of this model and have questions about ONNX models or would like to have this model removed from
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distribution or moved to another site, please contact ssube on https://github.com/ssube/onnx-web/issues or
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https://discord.gg/7CdQmutGuw.
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## Adding models
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Extract the entire ZIP archive into the models folder of your onnx-web installation and restart the server or click the
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Restart Workers button in the web UI and then refresh the page.
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Please see https://github.com/ssube/onnx-web/blob/main/docs/user-guide.md#adding-your-own-models for more details.
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## Folder structure
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- cnet
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- UNet model with ControlNet layers
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- remove for SDXL
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- LICENSE.txt
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- the original model's license
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- model_index.json
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- links the other models together
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- README.txt
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- this readme
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- scheduler
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- scheduler config
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- text_encoder
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- text encoder model
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- text_encoder2
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- second text encoder model for SDXL
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- remove for SD v1.5
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- tokenizer
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- tokenizer config
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- tokenizer2
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- second tokenizer config for SDXL
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- remove for SD v1.5
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- unet
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- UNet model
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- vae_decoder
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- VAE decoder model
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- vae_encoder
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- VAE encoder model
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