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2026-11-09 20:01

Now it is not difficult to ask AI to generate a beautiful picture.

But if we want to change a line of text in a picture, adjust an object, or modify the same picture more than ten times in a row, things are not that simple.

Sometimes I just want to change the clothes of the character, and even the face changes; sometimes the poster only changes a line of title, but the background and layout have to be regenerated. I finally made a satisfactory picture, but after a few rounds of revisions it started to look gray and blurry.

With the official release of Seedream 5.5, a new generation of image generation model beanbags, these problems now have the opportunity to be further solved.

This time, Seedream 5.5 has been upgraded in terms of multi-round editing, picture texture, and text rendering. It also supports native RGBA transparent background, layer splitting, and other capabilities that are more suitable for actual design work.

What’s even more convenient is that Seedream 5.5 will start launching Beanbao one after another from today, and will be connected to Beanbao work at the same time.

We can directly open the Doubao App or the computer version, enter "Image Generation" in "AI Creation", select the Seedream 5.5 model, enter prompt words or upload images to create.

If you need to complete more complex tasks, you can also open the bean bag work, enter /seed in the dialog box, select Skill skill Seedream 5.5, and combine existing documents, materials and other tools to complete subsequent design and production.

Whether it is making brand posters, organizing marketing materials, or building a website that requires a large number of images, work that was originally scattered in multiple tools can be completed in the same task link.

APPSO also experienced Seedream 5.5 in advance this time. From repeatedly modifying the same picture to making transparent stickers, commercial posters and web page materials, we wanted to see how much change this upgrade can bring to actual creation.

Even after 100 rounds of editing, "the more you change, the more blurry you become."

If there were any headaches with the previous AI-generated pictures, it was definitely the multiple rounds of editing. It's okay to modify it once, but after repeated editing, the character's face, the light and shadow of the picture, and the background details may all change.

This time Seedream 5.5 focuses on improving the stability of multiple rounds of editing, so that it can be adjusted for 100 rounds without crashing, and non-editing areas can be maintained at pixel level while trying to eliminate color shifts.

We made the portrait of Mona Lisa constantly change clothes and professions: programmer, delivery rider, doctor, chef, astronaut, e-sports player... The entire character pose and texture of the picture are almost unchanged, only the clothes are changing.

Or after rounds of editing, a rough room is transformed from a state of cement, and floors, TVs, air conditioners, coffee tables, etc. are added bit by bit, but at the same time the scenery outside the window remains unchanged, as well as the angle of sunlight coming in from the window. These non-edited areas are all maintained at the pixel level.

"Only move where you need to move" sounds simple, but to do it requires the model to have a sufficiently accurate understanding of spatial location and regional semantics. Once this is done, the cycle between generation and modification changes from a gamble to a controllable process, and the designer can continue to polish the same piece of work with confidence.

We found another photo of a store from the Internet. The animation below shows the modifications made by Seedream 5.5, from translating the sign into Chinese and English, and then gradually removing bicycles, electric vehicles, and product signage from the screen. It can even modify the small characters, changing the OPEN hanging on the door to CLOSE.

As you can see from the animation demo, the gradient background of the image and other elements on the store porch have not been modified. What’s even more amazing is that after Seedream 5.5 removed the trash cans, there were lights on the ground shining from the top of the store.

This capability is especially useful for e-commerce product images, portrait refinement, and advertiser vision. When the product needs to be changed in color, angle, or scene, there is no need to start from scratch every time; when the expression or accessories of the portrait need to be fine-tuned, the already recognized skin texture, light and shadow will not be destroyed.

In editing, in addition to editing with natural language, the new capability Seedream 5.5 brings to beanbag work this time is “layers”.

The layer splitting capability further enhances the usability of editing. A generated image can be split into up to about 100 reusable background, element and text layers. The text layer will also return structured recognition results to facilitate subsequent localization or template reuse.

Previously, many AI drawings could only be used as references after they were released. We had to manually cut out the drawings, rebuild layers, and adjust text before they could be inserted into typesetting or synthesis. The time cost of secondary processing often offset the efficiency advantages brought by AI generation.

Emoticon artifacts and some more practical upgrades

In addition to solving complex multiple rounds of editing, Seedream 5.5's own image generation capabilities have also been greatly improved, such as the ability to support native RGBA transparent channels, enabling more application scenarios.

Both Seedream 5.5's Venson Map and Tu Sheng Map can output materials with transparent or semi-transparent areas, which is very convenient for typesetting, compositing and material reuse.

Emoticons, product stickers, and decorative elements with transparent backgrounds no longer require additional cutout steps. APPSO itself used it to create a set of brand expression packs, which can be almost directly thrown into the design software for use after generation.

Upload a co-photo, enter the prompt word to convert the character into a chibi sticker style, and in a few minutes you will get a truly transparent RGBA PNG with thick white strokes, about 62% of the area is completely transparent, and the size is suitable. It can be used directly as a sticker or superimposed on other pictures.

Apply the sticker to a T-shirt and the effect will be relatively natural. The same method also applies to your own cats and dogs. Take a pet photo, turn it into a cute chibi-style transparent sticker, make it into an emoticon or print it on peripherals, the threshold is very low.

In addition to supporting transparent backgrounds, another upgrade of Seedream 5.5 is an improvement in texture. Whether it is lighting in realistic scenes, or elements such as materials and skin textures, the images generated now are more natural.

The light and shadow effect is the key to whether a generated picture has an AI flavor. We used Seedream 5.5 to generate this mobile phone screenshot. The light will have direction and attenuation. The traces of use of the screen, reflections, and text rendering are all close to the texture of camera photography.

Compared with previous character generation, the performance of Seedream 5.5 is indeed more delicate and realistic.

There are also photos that simulate the photos taken casually by an iPhone. The pictures generated by Seedream 5.5 are also very realistic.

In addition to writing texture, text rendering is also a key upgrade capability of Seedream 5.5, which improves the clarity of small characters and complex glyphs, and reduces the error rate of multi-language copywriting. In scenes such as posters, infographics, and product labels that require dense text, stroke breaks or font deformation often occurred in the past, but now they are more readable.

The text rendering of long images can be basically done without any problems, so we can continue to apply this style and create more regular-sized poster-style images.

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With these capabilities, the resulting images can be used as material that goes directly into the professional design process, even without editing. Designers can drag transparent PNGs into Photoshop or Figma to continue layout, overlay, and refinement. For teams that need to come up with solutions quickly, this means that the path from generation to delivery is significantly shortened.

Turn raw drawings into a part of the "workflow"

Of course, generating a picture is sometimes just the beginning of the entire creative task.

For example, to create a promotional page for a new product, we may also need to organize brand information, determine the visual style, generate product pictures of different flavors, and finally combine the materials into a web page.

After Seedream 5.5 accesses the beanbag work this time, you can participate in these more complete tasks.

In Beanbao work, we can first call Seedream 5.5 through the relevant Skill to generate images, and then use the existing code, documents and other tools of Beanbao work to continue processing subsequent tasks.

If it’s a team creation, we don’t even need to start by writing a prompt word. For example, when it comes to designing a brand vision for a new product, the team has been discussing it in the Feishu group chat for several days. Some people suggested what colors the brand should use, some added the target audience, and some suggested modifications to the copywriting and style of the poster.

In the past, we had to go through the chat records first, organize these scattered opinions into design requirements, and then hand them over to the drawing model.

Now, after obtaining the corresponding authorization, we can let Doubao work directly read the Feishu group chat, automatically sort out the design requirements discussed by the team, and then call Seedream 5.5 to generate a brand visual plan that meets the requirements.

If there are new suggestions for modification in the future, you can continue to hand it over to Doubao and let it make adjustments based on the existing plan. In this way, everything from group chat discussions and requirements sorting to image generation and subsequent modifications can be strung together into one workflow.

Similar capabilities, just like we can directly send a Feishu document to Doubao Work. Using the Skill of Seedream 5.5, Doubao Work can simultaneously use its own ability to connect with Feishu documents and the ability of Seedream 5.5 to generate graph models, giving us delivery that meets our requirements.

Doubao Work plays the role of a connector here. It reads the group chat content, automatically sorts out the team’s design opinions, and then directly calls Seedream 5.5 to generate a brand visual plan. Communication, generation, and modification are strung together into a workflow that does not require repeated manual sorting.

What’s more interesting is that the generated results can also be connected to a local computer, used through the computer, and seamlessly entered into professional software such as Photoshop for further refinement. From the group chat discussion to the final delivery, the friction of "copy, paste and re-describe" was eliminated several times.

We generated a transparent background image of the desk lamp in the beanbag job, and then let it generate the corresponding 3D asset file based on this image.

In addition to generating 3D assets, images produced by Seedream 5.5 can continue to be used by other Skills in Doubao Work.

For example, we have used Seedream 5.5 to generate a satisfactory main brand vision. Next, we can call the "Application Generation" Skill of Doubao Work to organize the pictures and product introductions into a web page.

We tried to take a fictional sparkling water brand from a product image to a complete new product page.

Seedream 5.5 first generates the main visual, and then derives three flavors through multiple rounds of editing, trying to keep the can design and brand text unchanged; the product image with a transparent background is entered into the flavor card, and the separated can, fruit and background layers are used for scrolling parallax. Finally, Beanbao organizes these materials into a complete web page

If you need to promote on social media, you can also use the "Social Media Marketing Graphics" Skill to make existing materials into marketing graphics suitable for different platforms; or call the "Style Poster" Skill to continue to create different styles of promotional posters around the same set of visual materials.

In this way, one generated image has the opportunity to be turned into a set of promotional materials that can actually be used.

In Doubao work, AI has changed from a separate drawing tool to a node in the entire creative chain. This is particularly valuable for scenarios such as brand vision, marketing materials, and internal proposals that require feedback from multiple parties, and the company itself has a lot of experience in Feishu.

A good agent needs good tools

When we tried Seedream 5.5 this time, what impressed us most was its consideration of the subsequent use of images.

After a picture is generated, we can continuously modify certain parts, directly obtain the material with a transparent background, or split the elements inside into layers to continue typesetting, synthesis and design.

And with Seedream 5.5 launching beanbags and accessing beanbags, we also have different ways to use them.

If you just want to generate a photo or emoticon, you can directly open Beanbao; if you want to continue to complete design, webpage or other work around the picture, you can also call Seedream 5.5 through Beanbao work.

This also allows us to see that as model capabilities become more and more mature, the value of AI graph generation has gradually extended to modification, reuse and delivery after generation.

Agents like Doubaojiu can connect different tools and skills, so that the generated materials can continue to participate in subsequent tasks.

From reading design requirements in Feishu group chats, to generating brand vision, to completing web pages, posters and social media images, the workflow behind a picture is becoming more and more coherent.

After all, for those who really want to use AI to get work done, generating a good-looking image is just the beginning. Let this picture continue to play a role, which is more worth looking forward to.

Zhang Zihao

A total of 200 articles have been published

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