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  Metadata UI
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  license
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-
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- datasets
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- + Add Datasets
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- language
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- + Add Languages
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- metrics
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- + Add Metrics
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- library_name
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- pipeline_tag
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- Text-to-Image
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- tags
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- + Add Tags
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- Eval Results
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- View doc
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- Commit directly to the
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- main
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- branch
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- Open as a pull request to the
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- main
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- branch
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- Commit changes
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- Update readme.md
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  Consistent Factor is a merged model trying to get as close to realistic as I can. Currently there are 9 models in the merge, with version 5.1 being the most recent official release. Versions 5.2 and 5.3 are just updated versions that are currently in testing, they work just don't offer much improvement over v5.1 that I can notice.
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  One thing I'm happy to celebrate about my model as that it is a lot more racially friendly and will more often than not, produce people who are not Caucasian, in fact around 60%-70% of the time it will produce people of colour in my testing at least. If you find it's not producing Caucasian people, just add either white or Caucasian to the prompt.
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  Negative prompt I use: (unrealistic, render, 3d,cgi,cg,2.5d), (bad-hands-5:1.05), easynegative, [( NG_DeepNegative_V1_64T :0.9) :0.1], ng_deepnegative_v1_75t, worst quality, low quality, normal quality, child, (painting, drawing, sketch, cartoon, anime, render, 3d), blurry, deformed, disfigured, morbid, mutated, bad anatomy, bad art, (bad teeth, weird teeth, broken teeth), (weird nipples, twisted nipples, deformed nipples, flat nipples), (worst quality, low quality, logo, text, watermark, username), incomplete, bad_prompt_version2
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- Recommend: DPM++ 2M SDE Karras, Steps: 20+, Hires fix 0.15 - 0.2, CFG 6 - 8.
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- Error: A commit has happened since. Please refresh and try again.
 
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  Metadata UI
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  license
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  Consistent Factor is a merged model trying to get as close to realistic as I can. Currently there are 9 models in the merge, with version 5.1 being the most recent official release. Versions 5.2 and 5.3 are just updated versions that are currently in testing, they work just don't offer much improvement over v5.1 that I can notice.
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  One thing I'm happy to celebrate about my model as that it is a lot more racially friendly and will more often than not, produce people who are not Caucasian, in fact around 60%-70% of the time it will produce people of colour in my testing at least. If you find it's not producing Caucasian people, just add either white or Caucasian to the prompt.
 
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  Negative prompt I use: (unrealistic, render, 3d,cgi,cg,2.5d), (bad-hands-5:1.05), easynegative, [( NG_DeepNegative_V1_64T :0.9) :0.1], ng_deepnegative_v1_75t, worst quality, low quality, normal quality, child, (painting, drawing, sketch, cartoon, anime, render, 3d), blurry, deformed, disfigured, morbid, mutated, bad anatomy, bad art, (bad teeth, weird teeth, broken teeth), (weird nipples, twisted nipples, deformed nipples, flat nipples), (worst quality, low quality, logo, text, watermark, username), incomplete, bad_prompt_version2
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+ Recommend: DPM++ 2M SDE Karras, Steps: 20+, Hires fix 0.15 - 0.2, CFG 6 - 8.