Similar to my Flux 2 Klein LoKr.

• Ideogram 4 is very impressive. Tossed F2K dataset in and came out with decent results. Not well trained on pubic nudity but bare breasts and nipples work pretty well. The real difficulty was finding a checkpoint that could semi reliably get different sizes with basic prompting.

• Sample images are all made using natural language prompts. My limited json images looked great as well using the KJ node.

• No trigger word needed.

Recommended Settings (balance of clarity and size):

Dual Model (Conditional and Unconditional)

• Conditional strength (0.5-0.65)

• Unconditional strength (0.9)

These settings seem to get the clarity i want as well as sizes not being outrageous.

IF, you are looking for bigger sizes then increasing the conditional strength to 0.9 will do the trick. The image gets fried around 1.0

• Dataset captions follow this general layout:

A medium shot of a girl with [size] breast(s) (implants) facing to the right. She is wearing [a tight, thin shirt] and [smiling]. Her breasts are [very perky] and [round]. The outline of her nipples peaks are visible.... [rest of prompt]

• Useful terms:

  • Size: small, medium, large, huge, gigantic, massive, etc.

  • Shape: round, perky, "bolted on"

  • General Modifiers: very, extremely, significant, prominent, etc.

  • Other: busty, bust, bustline, voluptuous, curvy, etc.

Just a v1 with basic training setting to get started. This is also a LoKr NOT a LoRA.

Please comment or post images. Feedback is much appreciated