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SDXL

AutismMix SDXL (Confetti)

#Plastic model
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AutismMix SDXL (Confetti) - AI Model cover image
Trained by

user-1722485577728538405

Uploaded at
Mar 6, 2024, 3:16 PM
Uses
802k
Reviews
Excellent  (65)
Sampling Steps

25

Sampling Method

Euler a

CFG Scale

7

Negative

source_pony, source_furry, source_cartoon, score_3, score_2, score_1, bad hands, worst quality, low quality, bad anatomy, bad proportions, extra legs, deformed anatomy, messy color, deformed fingers, distracted, jpeg artifacts, 3d, comic, censored, pointy ears, twintails, abs, ribs

Permissions
  • Allow image generation & sharing
  • Allow users to download this model
  • Allow commercial use of generated images

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Description

https://civitai.com/models/288584?modelVersionId=324524 Mix of pony with some stuff. It's an attempt at making pony more predictable and less dependent on schizo negatives without removing its comprehension and artist knowledge. Personally I'm using AutismMix_confetti for general use and AutismMix_pony for certain loras. If you want to train a lora on top of autism I recommend doing so in the AutismMix_pony version for better compatibility. The Lightning versions require specific settings to work, read the "about model" information under download.

What is the difference between the models:

AutismMix_confetti is a small amount of AnimeConfettiTune and AutismMix_pony. Has less style swing than pony and better hands. I prefer this one.

AutismMix_pony is a merge of ponyv6 with loras, its more compatible with certain styles made for the base ponydiffusion model.

AutismMix_DPO is AutismMix_confetti+DPO lora, made by request. Very similar to confetti version.

Add 3d to negs if you want a more traditional anime style. Quality tags should be same as ponyv6, but feel free to experiment: "score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_anime, BREAK"

From my testing schizo negatives and those negative embeds made for SDXL/pony make it worse, but do whatever you want.

If you have any issues running this model I suggest using this webui: https://github.com/lllyasviel/stable-diffusion-webui-forge

As well as this extension if you get noise outputs: https://github.com/hako-mikan/sd-webui-prevent-artifact

Comments5