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README.md
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@@ -11,23 +11,29 @@ This is a fine-tuned Stable Diffusion model (based on v1.5) trained on screensho
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_Download the ckpt file from "files and versions" tab into the stable diffusion models folder of your web-ui of choice._
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_I've found interesting (and really funny ^^) the output in the img2img. You can see the results in the second and third pic (original/img2img). You can play around with denoising strength (40-70) and activate or not the restore face option._
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-- **Characters rendered with this model:**
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 the output in the img2img. You can see the results in the second and third pic (original/img2img). You can play around with denoising strength (40-70) and activate or not the restore face option._
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### supermarionation v2
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In this version I've trained characters and vehicles. 47 images and 9400 steps, 20% text encoder.
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-- **Characters and vehicles rendered with this model:**
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_prompt and settings used: **[person/vehicle] in supermarionation style** | **Steps: 30, Sampler: Euler, CFG scale: 7.5**_
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**Characters rendered with img2img:**
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_prompt and settings used: **[person] in supermarionation style** | **Steps: 30 - you can play around with settings**_
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**Characters rendered with supermarionation in txt2img:**
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_prompt and settings used: **[person] in supermarionation style** | **Steps: 40 - you can play around with settings**_
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**Characters rendered with supermarionation in img2img:**
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_prompt and settings used: **[person] in supermarionation style** | **Steps: 40 - you can play around with settings**_
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--
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Supermarionation v1 was trained with Dreambooth training by TheLastBen, using 43 images at 8600 steps with 18% of text encoder.
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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.
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