Qwen generates four pose images of a character with one click, and also supports multi-angle image generation.


Upload an image, write four descriptions, and generate consistent images.


"Character Consistency Multi-Pose Generation" or "Virtual Model Customization" is a very practical and popular feature in the field of AI image generation.



This feature is based on the following two core technologies:

  1. Image Understanding: AI first needs to recognize and understand the character features in the provided original image, including: Appearance features: hairstyle, hair color, eye color, face shape. Clothing and accessories: style, color, texture of clothes, bags, glasses, etc. Body structure: general body proportions.
  2. Pose Control & Generation: After understanding "who," AI then generates new images with specified poses based on your instructions (usually descriptive words or a reference pose image) while maintaining the character's core features consistently.
  3. Qwen's image-to-image function perfectly integrates these two aspects, enabling users to achieve high-quality multi-pose outputs effortlessly.




1. User Guide:

Step 1: Prepare an original image

  • Select a high-quality character image: preferably a half-body or full-body shot, where the character is clear, facing front or 3/4 view, evenly lit, and clothing details are visible.
  • Avoid: overly blurry images, heavily obscured faces, or images with overly twisted poses.

Step 2: Access the image-to-image function

  • On the AI drawing platform of Qwen (e.g., Tongyi Wanxiang), select "image-to-image" or "character customization" related feature tags.

Step 3: Upload the image and set parameters

  • Upload the image: upload the prepared original image as the base image.
  • Write prompts: This is the key instruction! You need to clearly tell the AI two things: Pose requirements: describe in detail the four poses you want. Style and quality: specify the image style (e.g., "anime style," "photo realism," "illustration style") and image quality. Prompt examples (both Chinese and English are acceptable): "Please generate four different full-body poses of the same character based on this image. Poses include: 1. standing and waving, 2. sitting and reading, 3. running, 4. jumping. Maintain a consistent anime art style, high resolution, and refined details." "Generate 4 different full body poses of this same character. Poses: 1. waving while standing, 2. sitting and reading, 3. running, 4. jumping,  Maintain a consistent anime art style, high resolution, and detailed background."

Step 4: Generate and adjust

  • Click Generate, and the AI will output a set of images (usually 4 or 8).
  • Check the results: Character consistency: Does the character's face and clothing remain consistent? Pose accuracy: Do the actions match your description? Image quality: Are there distortions, chaotic hand placements, or messy backgrounds?
  • If the results are unsatisfactory, you can refine the prompts or use advanced features (such as manually specifying skeleton key points) to regenerate.




2. Principles Behind the Technical Implementation (Brief)

  1. Character Feature Extraction and Encoding: AI encodes the original image into a "feature vector" containing the character's identity information (essentially a character ID).
  2. Pose Control: Text-based control: Using your descriptive words, AI invokes its internal visual models for actions like "running," "jumping," etc. Image-based control: A more advanced method where you can upload a reference pose image (e.g., a stick figure skeleton or another photo), and AI prioritizes learning the pose from this image, then "dresses" your character features onto it.
  3. Image Synthesis and Generation: AI inputs both the "character ID" and "target pose" information into a diffusion model to generate images that resemble the original character while adopting the new poses.