Crosstyan
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more samples
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- NMFSAN/README.md +6 -1
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NMFSAN/README.md
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@@ -6,7 +6,7 @@ Actually this model is broken, kinda.
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Trained with custom embeddings with [naifu-diffusion](https://github.com/Mikubill/naifu-diffusion/blob/main/experiment/textual_inversion.yaml), aiming to solve the problem of poor style recognition because of CLIP.
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[WandB report of this training](https://wandb.ai/crosstyan/BP_NMAN/runs/1o0l0dvs).
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Actually I should not have trained this model based on BPModel since it has already
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overfitted to the training set, but I did it anyway. As for the style
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## Cherry Picked Samples
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Still playing with it. Still doing cherry picking.
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![cat](images/00343-263196747_20230105142445.png)
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Trained with custom embeddings with [naifu-diffusion](https://github.com/Mikubill/naifu-diffusion/blob/main/experiment/textual_inversion.yaml), aiming to solve the problem of poor style recognition because of CLIP.
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[WandB report of this training](https://wandb.ai/crosstyan/BP_NMAN/runs/1o0l0dvs), which contains sample images and training log.
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Actually I should not have trained this model based on BPModel since it has already
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overfitted to the training set, but I did it anyway. As for the style
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## Cherry Picked Samples
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Still playing with it. Still doing cherry picking.
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More samples can be found in `images` folder.
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Simply replicating/imitating the style of artists is not the goal of this model.
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I encourage you to try [Prompt Editing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#prompt-editing) and [Alternating Words](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alternating-words) when playing with the styles. Applying only one
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style usually gives a bad result due to the overfitting.
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![cat](images/00343-263196747_20230105142445.png)
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