This model is decent at understanding text to generate images through training with detailed tags.Refer to sample images for quicker prompts/samplers, but info below -Desclaimer:I do find that I get more face details if I train a lora using this as the base model. So please test that out on your end for specific characters/styles. So images in sample use character specific loras.Recommended to Use Adetailer for faces and skin.I usually use Euler A - AutomaticI recommend using these in positive/negative prompts:Positive: source_realistic, photograph, score_9, score_8_up, score_7_up, score_6_up, masterpiece, best quality, very detailed,Negative: anime, sketch, cartoon, drawing, (double teeth), (neutral background), (simple background), makeup, jewelry, tongue, cgi, plastic skin, unsharp, deformed eyes, deformed body, deformed face, two belly buttons, 6 fingers, extra fingers, deformed hand,

BATCH_CO_PONY

batchCOPONY_v10.safetensors

v1.0

This model is decent at understanding text to generate images through training with detailed tags.Refer to sample images for quicker prompts/samplers, but info below -Desclaimer:I do find that I get more face details if I train a lora using this as the base model. So please test that out on your end for specific characters/styles. So images in sample use character specific loras.Recommended to Use Adetailer for faces and skin.I usually use Euler A - AutomaticI recommend using these in positive/negative prompts:Positive: source_realistic, photograph, score_9, score_8_up, score_7_up, score_6_up, masterpiece, best quality, very detailed,Negative: anime, sketch, cartoon, drawing, (double teeth), (neutral background), (simple background), makeup, jewelry, tongue, cgi, plastic skin, unsharp, deformed eyes, deformed body, deformed face, two belly buttons, 6 fingers, extra fingers, deformed hand,

Batch CHOPHOTO N/SFW XL PNY Merge

This model is decent at understanding text to generate images through training with detailed tags.

Refer to sample images for quicker prompts/samplers

Files with SHA256: 4aeaf858928509e1adf15c1ce5143ecb56df758a034520cba6dbefc1c2ac2967