TailSteer Holds Qwen-Image 2.1 Edits Steady Over 20 Turns

ComfyUI Wikinews

TailSteer is a final training stage for Qwen-Image 2.1 that stops drift on long edit chains, shipped as a BF16 transformer with four native ComfyUI workflows.

TailSteer is a final training stage for Qwen-Image 2.1, released November 4, that keeps an edit chain from drifting. It ships as a full BF16 transformer for ComfyUI/models/diffusion_models/, runs on the native Qwen-Image 2.1 nodes, and comes with four ready workflows.

Edit an image ten times in a row and the last frame is no longer the same picture: skin goes plastic, text warps, background detail softens, and none of the instructions asked for that. TailSteer trains the model to survive that loop without losing the first-edit quality it started with.

Base model after twenty edits
Turn 20 of twenty successive edits, base model against TailSteer, from the project's example set

What it changes

On the project's Add & Preserve benchmark, which adds one small object per turn for ten turns and scores what stayed put, TailSteer keeps the base model's object-completion rate while lifting everything outside the edit box:

Metric, turn 10BaseTailSteer
COA, object completion (%) ↑67.3666.94
PSNR outside the edit ↑16.9318.15
SSIM outside the edit ↑0.4380.513
LPIPS outside the edit ↓0.2700.239

The trade is small: Qwen-IB EN 53.39 → 53.06, GEdit EN 8.11 → 8.04, ImgEdit 4.40 → 4.42. Text-to-image still works from the same checkpoint, and no preservation mask or model switching is needed at inference.

Text-to-image pairs, same prompt and seed

Same prompt and seed: base model against TailSteer.

Run it in ComfyUI

  1. Update ComfyUI to a build that includes TextEncodeQwenImage21 and QwenImage21Cache, then put qwen_image_2.1_tailsteer_bf16.safetensors (14.23 GB) in models/diffusion_models/.
  2. Add the unchanged base components: qwen3vl_8b_bf16.safetensors in models/text_encoders/ (17.53 GB) and qwen_image_2.1_vae_bf16.safetensors in models/vae/, both from Comfy-Org/Qwen-Image-2.1.
  3. Drag in a workflow and run: 40 Euler steps, CFG 1.0, lossless KV cache, reference resolution 1024.

In the three-turn workflow each VAE Decode feeds the next Text Encode Qwen Image 2.1, so duplicating an editing stage extends the chain.

One setting to respect: the sampler uses ManualSigmas built from the released dynamic shift, and ComfyUI's generic simple schedule is not the same curve. If you change output size or step count, regenerate it with the project's comfyui_sigmas.py and paste the result back.

The validated setup is an H100 80 GB with BF16 components; quantized and consumer-GPU configurations have not been verified. The example workflows run at 1280×832, 960×1120 and 1024×1024.

Availability

The model card says a stronger version with roughly twice the preservation ability is in training.

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TailSteer Holds Qwen-Image 2.1 Edits Steady Over 20 Turns | ComfyUI Wiki