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README.md
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---
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license: creativeml-openrail-m
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---
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---
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language:
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- en
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license: creativeml-openrail-m
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- safetensors
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#inference: true
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#thumbnail: https://s2.loli.net/2023/05/31/bl27yWANrT3asoG.png
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#widget:
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#- text: >-
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# 1girl with blonde two side up disheveled hair red eyes in black serafuku red
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# ribbon, upper body, simple background, grey background, collarbone
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# example_title: example 1girl
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#datasets:
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#- Crosstyan/BPDataset
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library_name: diffusers
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---
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# AstolfoMix (Baseline) #
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```
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parameters
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(aesthetic:0), (quality:0), (car:0), [[mercedes]], (1girl:0), (boy:0), [[braid]], [astolfo]
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Negative prompt: (worst:0), (low:0), (bad:0), (exceptional:0), (masterpiece:0), (comic:0), (extra:0), (lowres:0), (breasts:0.5)
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Steps: 48, Sampler: Euler, CFG scale: 4.5, Seed: 342433587, Size: 1024x576, Model hash: 6100f3b2ae, Model: vcbp_mzpikas_tmnd-sd-v1.4, VAE hash: 551eac7037, VAE: vae-ft-mse-840000-ema-pruned.ckpt, Denoising strength: 0.7, Clip skip: 2, Hires upscale: 2, 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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- Probably the best "baseline model" I've ever seen.
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- Baseline Model: `vcbp_mzpikas_tmnd-sd-v1.4.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 3 models. M=0.5 (`vbp23-cbp2-sd-v1.4`) then M=0.33 (`vcbp_mzpikas_tmnd-sd-v1.4`)
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- Recommended prompt: "SD 1.4's Text Encoder"
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- Recommended resolution: *high*
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## License ##
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
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1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
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2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
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3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license [here](https://huggingface.co/spaces/CompVis/stable-diffusion-license/blob/main/license.txt)
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