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README.md
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# AstolfoMix (Baseline) #
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```
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Steps: 64, Sampler: Euler, CFG scale: 4.5, Seed: 3179120050, Size: 1344x768, Model hash: f52ee1e6b3, Model: vcbp_mtd8_cwl-sd, VAE hash: 551eac7037, VAE: vae-ft-mse-840000-ema-pruned.ckpt, Denoising strength: 0.7, Clip skip: 2, Hires upscale: 2, Hires steps: 32, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.3, Threshold percentile: 100, Version: v1.6.0
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```
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- Baseline Model: `vcbp_mtd8_cwl-sd.safetensors`
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- [Receipe Models: Merging UNETs into SD V1.4](https://huggingface.co/6DammK9/bpmodel-sd14-merge)
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- ["Roadmap" / "Theory" in my Github.](https://github.com/6DammK9/nai-anime-pure-negative-prompt/blob/main/ch05/README.MD)
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- Receipe: **Uniform merge** of 4 models. M=0.5 (`vbp23-cbp2-sd-v1.4`) then M=0.33 (`vcbp_mzpikas_tmnd-sd-v1.4`) then M=0.25 (`vcbp_mzpt_d8-sd-v1.4`)
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- Recommended prompt: "SD 1.4's Text Encoder"
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- Recommended resolution: **1024x1024 (native T2I), HiRes 1.75x (RTX 2080Ti 11GB)**
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- It can generate images **up to 1280x1280 with HiRes 2.0x ([Tesla M40 24GB](https://github.com/6DammK9/nai-anime-pure-negative-prompt/blob/main/ch04/readme.md#chapter-04b-extra-making-use-of-m40-24gb-for-generating-large-images))**, but the yield will be very low and time consuming to generate a nice image.
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- Recommended CFG: 4.5 (also tested on all base models), 6.0 (1280 mode)
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## License ##
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# AstolfoMix (Baseline) #
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- A (baseline) merge model focusing on [absurdres](https://www.urbandictionary.com/define.php?term=absurdres), *and let me wait for a big anime SDXL finetune.*
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- Behind the "absurdres", the model should be very robust and capable for most LoRAs / embeddings / addons you can imagine.
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- The image below is 2688x1536 without upscaler. With upscaler, it reaches 8K already.
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```
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Steps: 64, Sampler: Euler, CFG scale: 4.5, Seed: 3179120050, Size: 1344x768, Model hash: f52ee1e6b3, Model: vcbp_mtd8_cwl-sd, VAE hash: 551eac7037, VAE: vae-ft-mse-840000-ema-pruned.ckpt, Denoising strength: 0.7, Clip skip: 2, Hires upscale: 2, Hires steps: 32, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.3, Threshold percentile: 100, Version: v1.6.0
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```
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- Current version: `vcbp_mtd8_cwl-sd.safetensors` (merge of 5 models)
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- [Receipe Models: Merging UNETs into SD V1.4](https://huggingface.co/6DammK9/bpmodel-sd14-merge)
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- ["Roadmap" / "Theory" in my Github.](https://github.com/6DammK9/nai-anime-pure-negative-prompt/blob/main/ch05/README.MD)
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- Recommended prompt: "SD 1.4's Text Encoder"
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- Recommended resolution: **1024x1024 (native T2I), HiRes 1.75x (RTX 2080Ti 11GB)**
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- It can generate images **up to 1280x1280 with HiRes 2.0x ([Tesla M40 24GB](https://github.com/6DammK9/nai-anime-pure-negative-prompt/blob/main/ch04/readme.md#chapter-04b-extra-making-use-of-m40-24gb-for-generating-large-images))**, but the yield will be very low and time consuming to generate a nice image.
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- Recommended CFG: 4.5 (also tested on all base models), 6.0 (1280 mode)
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## Receipe ##
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- **Uniform merge.** M = 1 / "number of models in total".
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- M=0.5 (`vbp23-cbp2-sd-v1.4`)
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- M=0.33 (`vcbp_mzpikas_tmnd-sd-v1.4`)
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- M=0.25 (`vcbp_mzpt_d8-sd-v1.4`)
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- M=0.2 (`vcbp_mtd8_cwl-sd`)
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## License ##
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