Qwen Image 2.1 Studio Workflow

A Qwen Image 2.1 studio workflow. One model load, then four jobs you turn on one at a time: text to image, single-image edit, multi-image edit, and a pose editor. Each job can upscale with SeedVR2 and save a PNG with Civitai metadata.

## What you can do

- Text to image — prompt in, image out, then an optional SeedVR2 upscale.

- Single image edit — change a photo from a prompt. A mask is optional. Use one when the area is small or when several similar objects are in the frame. Put the photo on image 1 and the mask on image 2, and say <image1> and <image2> in the prompt (no space). Tell it to change only the masked region, or the edit spreads over the whole picture.

- Multi-image edit — several reference images in one instruction.

- Pose editor — VNCCS Pose Studio sets the pose, your photo sets the person. Image 1 is the pose render. Image 2 is the character photo. The positive prompt is Draw character from image2. Pose Studio’s view size and the sampler size stay the same (1024×1024). Keep the mannequin’s muscle, weight, and height near the middle.

Use the group bypasser and leave only one job enabled.

## Settings

- Steps 8, CFG 1, denoise 1, with the 8-step LoRA on. That LoRA is built for CFG 1. Higher CFG fights the pose and breaks hands, arms, and legs.

- Generate at 2MP or higher. Use the Resolution Master presets. The Krea 2 Turbo set is a good default. The name is only a label.

- Pose LoRA VNCCS_QI2_PoseStudioV1.1 stays at strength 1, in front of the 8-step LoRA.

- SeedVR2 tile size stays at 1024. Tile count 2 is a normal 2× upscale. Higher counts run one full pass per tile. On a 16 GB GPU, use the 3B SeedVR2 model and leave Cache Model on. Keep Manual Load bypassed unless you mean to use it.

## Saving

Each job has a normal save and a Civitai save. The Civitai save writes the prompt, seed, steps, CFG, sampler, scheduler, and model name into the PNG. Sampler settings for each job live on that job’s sampler settings node.

## You will need

- UNET: qwen_image_2.1_int8_convrot

- VAE: qwen_image_2.1_vae_bf16

- Text encoders used in the graph: qwen3vl_8b_nvfp4_heretic, qwen3.5_9b_qwen_image_2.1_pe_t2i, qwen3.5_9b_qwen_image_2.1_pe_i2i

- LoRAs: p_qwen_image_2.1_8step_v0.1, VNCCS_QI2_PoseStudioV1.1

- A SeedVR2 upscale model if you use that stage

Tested on an RTX 5070 Ti 16 GB.