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+ "prompt": "(15Charturn_longCap_D:1) a character turnaround of A rat. Subsurface scattering, rimlight, (charturner:1). art by smoose2. Multiple views of the same character in the same outfit. , ANALOG STYLE, MODELSHOOT STYLE, NSFW, NUDITY",
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+ "Score": "5.87",
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+ "prompt": "(15Charturn_longCap_D:1) a facial character turnaround of A (rat:1.3). fursona Subsurface scattering, rimlight, (charturner:1). Covered with fur. Dark fur, art by smoose2. Multiple views of the same character in the same outfit. , ANALOG STYLE, MODELSHOOT STYLE, NSFW, NUDITY",
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+ "sampler": "DDIM",
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+ "Eta DDIM": "0.16",
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+ "cfgScale": 8.5,
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+ "Model hash": "c35782bad8",
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+ "Hires upscale": "1.85",
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+ "Hires upscaler": "Latent (nearest-exact)",
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+ "negativePrompt": "hoodie, human, military, armor, boots, (naked:1.6), nude, boobs, nsfw, nipples",
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+ "Denoising strength": "0.7"
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+ }
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+ }
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+ ],
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+ "downloadUrl": "https://civitai.com/api/download/models/8387"
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+ }
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+ {
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+ "description": "<p>2.1 and LoRa versions coming soon.</p><p><strong>Prompt hints</strong>: format something like this: \"A character turnaround of a (X) wearing (Y). \" In some of the prompts the token is spelled differently: due to some technical issues with xformers, I trained this badboy about 40 times, and some of the examples are from those trainings. All the same dataset, I promise. Just change any weird token names to CharTurnerV2 if you use them.</p><p><strong>Token - \"CharTurnerV2\"</strong> place at the front for stronger effect, place at the end for a weaker effect. Token weighting works too</p><p><strong>Add</strong>:</p><ul><li><p>\"Multiple views of the same character in the same outfit\"</p></li><li><p>Add original CharTurner to mix back in some anime/turns</p></li><li><p>Add charTurner Lora (uploading soon) on top (at very low strength, like .3) to really force the turn. Will affect style.</p></li></ul><p>Next Version: (after the v2 lora and 2.1 versions): Looking for more variety for the data set! Post a review or comment with your best turn around (especially if it was a hard one to get it to do!) and I will use it in the V3 dataset. </p>",
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+ "sd version": "SD1",
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+ "preferred weight": 0.8,
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+ "notes": ""
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+ }
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