Dynamic Elegance – Posture Stabilizer

Dynamic Elegance – Posture Stabilizer is a modular LoRA series designed to improve pose consistency, body balance, and overall elegance in full-body compositions.
Each version focuses on a specific pose category, teaching the model to generate stable, natural and visually refined body positions without distorting anatomy.

Version: Sitting
The Sitting module enhances all seated poses — from casual to editorial — improving leg placement, weight distribution, chair interaction, hand positioning, and overall posture.
It helps Flux1 to avoid typical issues such as floating, broken hips, stiff limbs, unstable feet, or unnatural chair contact. In theory, you also should be able to use this LoRA to inpaint images with difficult feet positions but I haven't tested that fully.

Version: Standing

Improves stability, balance, and body alignment in all standing poses — from simple upright stances to more dynamic, sensual, or asymmetrical positions.
It enhances hip rotation, leg alignment, foot placement, weight distribution, and overall posture while keeping the model’s identity and clothing intact. It helps Flux1 avoid common standing-pose issues such as floating feet, broken hips, incorrect center of gravity, over-twisted legs, or stiff, unnatural body lines.
It also supports poses where one foot is placed on a step, stool, chair, or other elevated surfaces.

Use at low weight! I recommend max. 0.8 or even lower.

This LoRA does not impose a specific style — it simply guides the model toward cleaner, more controlled seated body language. Is it perfect? No, you sometimes still get 4 legs, a missing hand, wrong toes - after all, it is still flux. But these occurrences should be much less frequent and you can just generate again or inpaint.

The LoRA was trained on the default flux1-dev model.

Dataset and training data:

• 184 images with different models, postures, settings and clothing (sitting)

• 176 images with different models, postures, settings and clothing (standing)

• 45 steps per image

• 9 epochs

• buckets with mostly max. 1152 px

• cosine scheduler with something around 0.2 warmup and 0.8 decay

• Captioning was done with joycap-batch

• alpha == dim: 32

• Trained on a 5090

If you use it with other loras, for example a character lora, try to lower the weight a little - I had good results at around 0.6.

As always: I did not polish any of the images in the showcase, they all came out like this.

Q: Why is this LoRA so big?

A: Because I have used network_dim and network_alpha == 32 for best quality

Q: I am running out of memory when using this LoRA!

A: You're using SwarmUI or an A1111 fork, that's common due to how they handle TE1 weights. Use ComfyUI or lower the TE1 weights of this LoRA.

Q: A series? Is there more coming?

A: Yes, I am planning to add more versions like standing, lying, kneeling, maybe even more complex postures like yoga stuff.