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.

If you try it out and you like it, feel free to post your pictures here, I'd love to see them :)

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 ????, 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 ????, 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.

Version: Squatting

The Squatting module enhances grounded and low stances — including deep squats, half squats, and asymmetrical weight distribution — with a strong focus on balance, leg mechanics, and realistic foot contact. It improves hip alignment, knee angles, heel stability (especially in high heels), and overall posture, helping Flux1 avoid common issues such as floating poses, broken ankles, collapsed knees, twisted ????, or unstable weight distribution. This LoRA is designed for fashion, editorial, and sensual photography alike, where controlled squatting poses need to remain elegant, confident, and anatomically believable across different outfits and environments. It works reliably with heels or barefoot poses and remains stable across studio, indoor, and outdoor scenes.

Version: Dance Pole

The Dance Pole module enhances vertical pole interactions — including climbs, holds, suspended poses, angled hangs, and transitional movements — with a strong focus on balance, grip logic, body tension, and realistic weight distribution. It improves hand placement, arm load, hip rotation, leg engagement, and foot positioning, helping Flux1 avoid common issues such as floating bodies, weak pole contact, implausible grips, broken limbs, or unstable center of gravity.

This LoRA is designed for fashion, editorial, sensual, and performance-oriented photography, where elegant and expressive pole poses must remain anatomically believable even in challenging positions. It remains stable across static poses and dynamic variations, works reliably with lingerie, swimwear, or athletic outfits, and supports both barefoot and high-heel setups without collapsing posture or contact logic. No extreme or yoga poses are trained.

How to use: you can prompt specific poses like you see in the showcase, or you can leave it up to flux (safer way to prevent morphing) - even tho the captioning was done by describing the exact pose and limb/body placement. Works with other character LoRAs that were trained on default flux (Just go down with the strength to around 0.5-0.6). Inpaint feet/hands if needed.

This version was really tough. Do not expect a perfect result with every single run. We are still talking about Flux, such poses are not easy to train and I wanted to prevent any overfitting or identity learning.

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)

• 104 images with different models, postures, settings and clothing (squatting)

• 190 images with different models, postures, settings and clothing (Dance Pole)

• 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.