Extends a picture in any direction: one side, two sides, a corner, three
sides, all four, or a small picture on a big empty canvas. Pad the picture with
flat gray #808080, give the padded canvas to Qwen Image 2.1 as the reference,
and the LoRA fills the gray with a continuation of the scene while keeping
the original picture where it is.
Ready-made ComfyUI workflows: Qwen Image 2.1 Outpaint and, for a tilted picture, Qwen Image 2.1 Rotate + Outpaint, both on Civitai. This LoRA on Civitai: Qwen Image 2.1 Outpaint LoRA. Videos on YouTube @ausbossdev.
Pictures neither LoRA was trained on, rendered in ComfyUI with the INT8 Qwen Image 2.1 model: 25 steps, CFG 1, seed 42, the same auto-caption prompt in every column, original pixels pasted back with Stitch Inpaint. Each row: padded input | no LoRA | v1 | v2. The amber box marks what goes wrong without the LoRA: visible seams where the original is pasted back, and a duplicated person.
| file | notes |
|---|---|
qwen-image-2.1-outpaint.safetensors | v1, step 1500: any extension size, trained at ~1 MP |
qwen-image-2.1-outpaint-v2.safetensors | v2, step 2000: everyday extensions at 1-2 MP, people and outfits |
checkpoints/qwen21_outpaint_v1_000001250.safetensors | step 1250, practically identical |
checkpoints/qwen21_outpaint_v1_000000500.safetensors | step 500, already fixes framing; plainer fills |
Both are rank 32, ComfyUI key format (diffusion_model.transformer_blocks.*), all 384
tensors load onto the Comfy-Org Qwen Image 2.1 weights.
Both fix the same thing (the picture stays in place, so the stitch is clean) and measure almost the same. v2 is a little better on small and medium extensions and was trained at 1-2 MP on a people- and fashion-heavy set; v1 saw more extreme zoom-outs.
| unseen pictures | no LoRA | v1 | v2 |
|---|---|---|---|
| subtle crops (10 pictures, ~75 % kept): picture stays in place | 16.4 dB | 34.6 dB | 34.7 dB |
| subtle crops: fill error vs the real photo (lower is better) | 16.3 | 10.5 | 10.2 |
| big crops (8 pictures, 36-50 % kept): picture stays in place | 25.5 dB | 33.9 dB | 34.0 dB |
| big crops: fill error | 29.8 | 27.0 | 27.2 |
The instruction is the trigger. Put it first:
Outpaint the image: replace the solid gray areas with a seamless continuation of the scene, keeping the existing picture unchanged.
Optionally follow it with Scene: <description>. The training captions
described the whole picture, so a description of the source (what is visible)
works well; in ComfyUI, Text Generate with the Qwen3-VL 8B encoder you
already load for Qwen 2.1 can write it automatically from the picture.
The quickest start is the ready-made workflow on Civitai. To build it yourself:
#808080 (AusBoss Load Image + Pad:
fill color, #808080, canvas multiple 32, target 1.0 MP for v1, 1-2 MP for v2).
For a tilted picture, use Image Crop + Rotate + Pad with feather 0 instead
(see Tilted pictures).image_1,
resolution 0 (reference and output share the canvas size), plus the prompt.latent output: 25 steps, CFG 1,
euler / simple, denoise 1.Do not pin the known area with Set Latent Noise Mask: on Qwen 2.1 that draws a visible rectangle at the seam. The LoRA keeps the picture in place on its own.
If the LoRA file is missing, the Civitai workflow stops at a red LoRA Loader. Download the file, or switch its row off to run plain Qwen 2.1 on purpose. If your results show a lighter box or doubled edges where the original was pasted back, check that the LoRA row is on.
| base Qwen 2.1 | + LoRA 500 | + LoRA 1250 | + LoRA 1500 | |
|---|---|---|---|---|
| gray left unfilled | 9.1 % | 1.1 % | 1.0 % | 0.9 % |
| kept-area PSNR (picture stays in place) | 23.6 dB | 33.6 dB | 33.6 dB | 33.5 dB |
| mean colour step at the seam | +2.2 | -0.8 | -0.7 | -0.6 |
Without the LoRA, Qwen 2.1 often reframes or rescales the picture (a fisheye kitchen shrank inside its frame, a street scene was recomposed) or returns a gray frame untouched. With it, the known picture stays pixel-registered, which is what makes a clean stitch possible. (The "gray" metric counts any flat mid-gray, so gray pavement or sky can read as a few percent.)
Straightening or tilting a picture before outpainting leaves gray wedges in the corners instead of straight borders. Neither LoRA was trained on diagonal borders, and both handle them.
36 ComfyUI renders: a sports photo, a flat lawn and the pier above, each
rotated 17° with AusBoss Image Crop + Rotate + Pad, 2 seeds, feather 24 and 0,
the same prompt and seed in every column, original pasted back with Stitch
Inpaint.
| rotated 17° | no LoRA | v1 | v2 |
|---|---|---|---|
| renders where the picture did not stay in place near the tilted edges (> 2 px) | 12 / 12 | 0 / 12 | 0 / 12 |
| largest shift (sports photo, pier) | 95 px | 0 px | 0 px |
Without the LoRA, Qwen 2.1 moves the scene while it fills the wedges, so the pasted-back original no longer lines up: a lighter tilted box, cut or doubled edges and ghosted objects along the tilt. With either LoRA the picture stays exactly in place.
Set feather to 0 on Image Crop + Rotate + Pad (AusBoss nodes 2.2.0). Its
feather also fades the picture itself into the gray fill (Load Image + Pad only
feathers the mask). The model paints that ramp as a darker band along the tilt,
and Stitch Inpaint's color match reads the faded edge and pulls flat areas
grayer. Stitch Inpaint still blends the paste-back over 32 px at feather 0.
arch: qwen_image_2,
Comfy-Org INT8 convrot base (the same weights ComfyUI runs), text encoder
embeddings cached with the reference image.#808080.Scene: + a Qwen3-VL-8B description of the whole picture.
Caption dropout 0 (in this trainer a dropped caption also drops the reference).shift timesteps,
1500 steps. Converged by about step 1250; step 500 already works.resolution: 1408.A LoRA for Qwen Image 2.1, which is released under the Qwen Research License; use of the base model, and of this LoRA with it, follows that license.