Today, AI image generation is gradually becoming part of everyday life.

But in real production environments, visual appeal is often just the starting point. What matters more is whether the model can efficiently meet complex, professional creative demands, closing the gap between the creator's intent and the final visual output, and delivering true usability.

Today, we are officially launching our multimodal image creation model, Seedream 5.0 Pro.

Compared to previous versions, Seedream 5.0 Pro delivers across-the-board improvements in foundational capabilities such as image-text alignment, structural coherence, text rendering, and visual aesthetics. It also introduces four core capability breakthroughs:

• Complex information visualization: Accurately transforms data, concepts, and dense text into professional layouts, ready for direct use in high-density content production.

• Interactive precision editing: Grounded in an understanding of spatial positions and regional semantics, it supports free combinations of point selection, lasso selection, sketch rendering, color and material replacement, layer separation, and multi-image fusion to achieve pixel-level editing.

• Realistic imagery and portrait textures: Reproduces real-world lighting, materials, and skin textures, balancing CG (computer graphics) expressiveness with photographic quality to make the visuals feel more alive.

• Native multilingual input and generation: Supports direct input and high-quality rendering for over ten commonly used languages worldwide, accurately conveying localized characteristics.

Project homepage:

https://seed.bytedance.com/seedream5_0_pro

Dense information delivery, explaining complex ideas in a single image

In professional settings, an image is not just visual decoration; it is the information itself. Infographic generation is currently one of the most complex areas in AI image generation. In a single pass, the model must simultaneously ensure data accuracy, render dense text without omissions, arrange a logical layout, and maintain professional aesthetics.

Seedream 5.0 Pro has been specifically optimized for this challenge. It deeply parses user intent, independently handles logical reasoning and layout planning, and stably outputs high-density infographics across various scenarios.

For example, in the "Antarctic Research Station" image, the model integrates a timeline, a line chart, a bar chart, and a realistic view of the station within a single frame. The information hierarchy is clear, and the visual metaphors are accurate, demonstrating the model's ability to spatially organize panoramic data.

Prompt: A visual infographic chronicling scientific research at Antarctica's Qinling Station. Place the main Qinling Station building at the center. Surround it with a timeline of research station development, a bar chart comparing the sizes of five research stations, a pie chart of the station's energy sources, and a line chart of monthly sunshine. Supplement this with realistic photos of research equipment, a summer weather panel, a seven-step fieldwork flowchart, and on-site sampling photography to showcase China's Antarctic research in a comprehensive way.

The model also meets the high factual accuracy standards required in science communication contexts: It can clearly break down the classification, flavor profiles, and brewing tips for the six major tea categories, and accurately capture the morphological features of various bird species in a clean, grid-based layout.

Prompt: Infographic of six major teas, central delicate watercolor gradient flavor wheel. Surrounding top-down tea leaf shots show varying oxidation, connected to oxidation bars & brew temp thermometers. Textured handmade rice paper backdrop, minimalist zen refined balanced layout.

Prompt: Generate a natural-science infographic titled "A Beginner's Guide to Birdwatching". Use a fresh color palette, grid layout to showcase 8 common bird species, each with a scientific illustration, English and Chinese names, and key identifying features.

The "Winter Christmas Sale Poster" requires the model to handle multi-tiered, dense text, including the headline, discount terms, and event dates. The model lays out this information with well-judged spacing on a vintage scroll: The English text is rendered without spelling errors and alternates between bold and handwritten fonts based on information priority, balancing text density with commercial aesthetics.

In the "Pet E-commerce Homepage" UI example, the model demonstrates a deep understanding of spatial topology. It generates a clear navigation bar and floating cards while executing cross-layer interaction: The Golden Retriever's front paw breaks through the boundary of the right-side image to realistically press down on the button on the left. This capability can help users quickly generate product prototypes.

Prompt: A 16:9 pet e-commerce homepage UI in warm sunset tones with layered shadows. It features a top navigation bar. The left side has a cream-beige background containing text copy, product cards, and a golden capsule-shaped button. On the right, there is an image of a Golden Retriever with a 3D effect: The dog's front paw breaks out of the right frame and rests directly on the left button.

Interactive precision editing, more flexible and controllable creation

Text-only prompts have an inherent limitation: Language excels at describing "what to generate" but struggles to pinpoint "where to edit." Yet design usually requires repeated fine-tuning and polishing.

Seedream 5.0 Pro natively integrates control signals into the generation process. Its core strength lies in a precise understanding of spatial positioning (grounding) and regional semantics, enabling pixel-level interactive editing.

The model can deeply analyze positional information within an image. In the "2026 New Gaokao Math Exam Solutions" example, it accurately identifies each question, locks onto the blank space below it to perform calculations, and fills the answers into the corresponding spaces.

Prompt: Complete all the multiple-choice questions above and write out the corresponding calculation steps.

In everyday scenarios, the model can also accurately translate foreign menus into Chinese while perfectly matching the original layout.

Prompt: Translate the menu into Chinese.

Building on this spatial awareness, the model translates coordinate information provided by users through point selection, lasso selection, box selection, and doodling into deterministic, local editing instructions. This enables a variety of practical applications:

• Local interaction and attribute reconstruction: point selection, lasso selection, color editing, and material replacement

The model provides a parallel set of fine-grained control tools. For spatial positioning, users can lock onto a target element via point or lasso selection to remove a local object or add a new one at a specific location. For object modification, the model supports color editing and material replacement. These tools work seamlessly together. Whether recoloring, swapping materials, or adding and removing objects, the edited region transitions naturally into the overall environment while maintaining the correct perspective.

As shown, the model can control colors by accepting Hex color codes or directly referencing an external color swatch, while simultaneously replacing the object's material.

Prompt: Using the material from Image 1 and the color swatch from Image 2, modify the sofa in Image 3.

The model also demonstrates strong region isolation capabilities. Users can outline locations with differently colored frames, and the model generates the specified items within each designated area — for example, generating a blue furry monster watching bubbles in a red frame, and a grass-green blanket in a purple frame, with each element strictly respecting its coordinate boundaries and remaining independent.

• Sketch rendering: Turning abstract intent into high-fidelity visuals

Users can use casually drawn color blocks, lines, or simple sketches as control signals to directly drive the detailed rendering of an image.

In the "Sanli Elementary School Spring Outing Poster" example, a single sketch with a rough layout is all the model needs to recognize the intent of each block. It successfully recreates felt and stitching textures while placing text, such as the departure time and packing list, precisely into the designated coordinate areas.

• Layer separation: Smartly separating images into independent layers

Seedream 5.0 Pro supports intelligent layer separation. Through text descriptions, it can separate an image into independent layers, outputting editable design assets.

As shown in the video, the model can separate a complete poster into more than 10 independent layers, including text, the main subject (a parrot), the background, and environmental decorations. The background areas previously obscured by the main subject are also seamlessly inpainted and restored. These layers retain their transparency and can be freely dragged or scaled. Creators can even replace the core subject with a new element (such as swapping the parrot for a peacock).

• Multi-image fusion: combining multi-source materials for complex scenes

By simultaneously inputting multiple reference materials and a target base image, the model fuses the different elements into the scene as instructed. This is highly suitable for early-stage visual collages and creative brainstorming.

• Unlocking creative freedom: combining editing capabilities at will

In actual creative workflows, the capabilities mentioned above can be combined freely. As shown, the user requested to change the pumpkins to an alternating pattern of dark green (#3E4A2E) and turmeric yellow (#DB973E), while giving the background typography an embroidered texture. The model accurately executed the material swap and color edits, and the modified areas blend seamlessly into the ambient light of a summer afternoon.

This "locate precisely first, then edit" mechanism means designers no longer have to redraw the entire image for every minor tweak. They can make high-frequency, localized fixes to works in progress, greatly accelerating iteration efficiency. At the same time, it enables everyday users to build high-quality images purely by intuition.

Rich image and portrait textures, making every scene come alive

Whether for commercial advertising or everyday documentation, the realism of details and the natural feel of lighting directly determine the quality of an image. Seedream 5.0 Pro enhances its understanding of real-world lighting, object materials, and skin textures, resulting in a substantial leap in both CG expressiveness and photographic quality.

Realism comes from the accurate reconstruction of light, objects, and people. In terms of lighting, the model can capture the microscopic dynamics of high-frequency details. It freezes moments like the "God rays" piercing through blinds in a dim room, grains of rice and fish roe flying mid-air in a sushi poster, or water splashes in black-and-white film. This gives the image both spatial depth and tonal richness.

Regarding object materials, the model processes reflection, refraction, and light transmission according to real-world physics, allowing the interplay of light and shadow on different materials to blend naturally with the surrounding environment.

As shown in the examples, the left image features a street-view storefront window. The vintage portrait poster on the glass retains its halftone printing texture. The street perspective is natural, and the environmental reflections on the glass are clearly layered, creating an intricate weave of the poster, the street scene, and the reflections. The right image shows a "coastal cliff glass villa." Between the metal frames, floor-to-ceiling glass, stone, seawater, and raw wood, the model orchestrates a soft transition among the warm indoor lighting, the sunset, and the multiple reflections off the sea surface, showcasing the photorealistic texture of architectural photography.

For portraits, Seedream 5.0 Pro faithfully reproduces skin texture — facial lines and rough skin details appear three-dimensional, matte facial lighting transitions softly, and expressions carry inherent narrative tension. It also serves diverse realistic creation needs: Beyond live-action cinematic portraits, it fluently handles realistic character design for AAA games, ensuring clothing, body, and environmental lighting all work in harmony.

Beyond static realism, the model supports more advanced photographic techniques. In a panning shot, the cyclist and the bicycle stay tack-sharp while the background street stretches into horizontal motion blur and the wheel spokes blur as they spin. This accurately captures the dual motion of the camera moving laterally with the subject and the wheels spinning at high speed, producing a genuine sense of speed.

Prompt: A panning shot of a cyclist. The rider and the bicycle are clear and sharp, the background street is stretched into horizontal motion blur, and the wheel spokes have rotational blur to convey a sense of speed.

Multi-image compositing extends this control further. Given several separate photos of different people, the model extracts each person's facial features and combines them into a single scene in specified positions, producing a group photo with consistent lighting and cohesive texture, well suited for scenarios like social sharing.

Prompt: Combine the people from Images 2 to Image 6 into a group photo referencing the positioning in Image 1. The people should have happy expressions, with trees and a cafe storefront in the background.

Native multilingual input and generation, adapting to localized characteristics

Globalized creation is more than just translating languages; it requires accurately conveying the regional culture and visual traits of different markets. In addition to Chinese and English, Seedream 5.0 Pro natively supports direct input and high-quality generation in over ten commonly used languages worldwide, including French, German, Russian, Japanese, Korean, Spanish, and Arabic.

When creators input prompts in different languages, the model not only accurately parses the semantic meaning but also aligns the architectural styles, facial features, and clothing details with the corresponding cultural context, naturally blending the image into the local atmosphere.

In text rendering, the model automatically adapts to the typographic rules of different languages. Even when using the same visual template, it can precisely render standard Chinese and English characters, correctly process the right-to-left cursive script of Arabic, and accurately reproduce Spanish accent marks (such as PASIÓN). This ensures that text across different languages is accurate and conforms to local reading habits.

Summary and outlook

The Seedream 5.0 Pro upgrade is driven by underlying breakthroughs in spatial structure perception, high-density text rendering, and multilingual understanding. These advances not only enable precise generation of complex infographics, but also bring flexible localized editing and controllable editing capabilities, effectively boosting professional productivity.

Currently, Seedream 5.0 Pro has made breakthroughs in complex infographic generation and interactive precision editing, but there is still room to improve in finer-grained text rendering and pixel-level editing consistency. Going forward, we will continue to refine the model's generation capabilities for professional production and design. We hope that it becomes not just an efficiency-boosting tool, but a capability that integrates deeply into every industry — turning complex creative ideas into production value with lower barriers and higher quality.