V4: New dataset. A much wider range of people, V1 - V3 we're almost all solo women. A much larger variety in landscape shots. More character variety including age, group images, and went from 350 tags in the data to over 1600 tags. New lighting environments including sunlight and sunset.<hr />This uses my trained SinGlo lora/checkpoints from Illustrious mixed in with Anima Base!Works very well with natural language.<hr />YOU NEED:qwen base encoder &amp; qwen image vae<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/5ea8a2b3-f6bf-4d7b-bc51-4ef04a02e0b6/original=true/5ea8a2b3-f6bf-4d7b-bc51-4ef04a02e0b6.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/53fdaf62-684c-4ef7-bcd1-f4721cd62b05/original=true/53fdaf62-684c-4ef7-bcd1-f4721cd62b05.jpeg" />All gallery images should have metadata so you can drag and drop to see the exact things you need along with prompts and settings.<hr /><hr />SETUP:Steps: 30 - 50CGF: 4 - 5Sampler: Eular/Eular A (haven't tested others)

SinGlo-Anima

New dataset. A much wider range of people, V1 - V3 we're almost all solo women. A much larger variety in landscape shots. More character variety including age, group images, and went from 350 tags in the data to over 1600 tags. New lighting environments including sunlight and sunset.

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