豆包·图像生成

Platform introduction:

The bean bag AI image generation function is a "lightweight creative implementation tool" created for domestic non-professional creators. It solves three types of pain points in image creation: High design threshold *: Non-professional users lack the ability to operate design software such as PS and AI., making it difficult to transform ideas into visual images; Creative implementation slow : Even if there is a design foundation, it takes 1-2 hours to draw images (such as illustrations and posters) from scratch, which cannot meet the needs of "quick drawing"(such as matching pictures from the media every day);* The risk of compliance is high : Using free library materials is prone to copyright disputes, and independent creation lacks professional ability; It is difficult to unify styles **: When individuals or small teams create series of content (such as Short videos covers, public account pictures), it is difficult to ensure the consistency of image styles.

Its core logic is to "lower the creation threshold with 'large model semantic understanding + lightweight operations'": no need to learn professional software, you can generate images by inputting text descriptions; no need to time-consuming drawing, and quickly produce pictures in 30 seconds to 1 minute; no need to worry about copyright, the generated images can be used in non-commercial scenarios in compliance; There is no need to manually adjust the style, and preset labels ensure a unified style of the series content, allowing image creation to shift from "professional threshold restrictions" to "creative expression that everyone can participate in", adapting to the needs of all levels from individual users to small and medium-sized teams.

Core functions: (Based on AI drawing scenarios and bean bag ability derivation)

1. Core: Three major creative functional modules

(1) Text-driven image generation: text description → visual landing

Solve the problem of "difficulty in transforming ideas" and cover multiple scenarios to describe requirements:

1. Accurate semantic understanding :

   • Support "detailed command input", which can describe "main elements (such as 'girl wearing Chinese costumes'), scene atmosphere (such as 'ancient courtyard with cherry blossoms falling'), style preferences (such as 'ink style, soft light and shadow'), composition requirements (such as 'bust, centered composition')", example: Enter "Cyberpunk style future city, floating cars in the air, neon lights reflected on slippery streets, rich details" to generate corresponding sci-fi images;
   • Adapt to "concise/complex instructions", even if you enter short sentences (such as "cute Corgi dogs playing Frisbee on the grass"), reasonable details (such as "sunny, green lawn, lively Corgi expression") can be automatically added. Lower the threshold for description.

2. Multi-style adaptation :

   • Preset 10+ mainstream style tags, including "realistic photos, cartoon animation, hand-painted illustrations, national trend ancient style, cyberpunk, minimalist flat, watercolor art, 3D modeling", etc. Users can select with one click without professional style terms;
   • Support "style mixing", such as inputting "National Trend + Cyberpunk Style Peking Opera Face" to generate unique images that combine traditional elements and a sense of the future. A self-media person uses this function to create a series of Short Video covers, with style recognition increased by 40%.

(2) Image parameters and editing: adapt to different usage scenarios

Solve the problem of "secondary adjustment is needed to generate images" and improve practicality:

1. Resolution and size settings :
   • Supports "normal (720P), high-definition (1080P), ultra-clear (4K)" resolution selection, and also provides "common size templates"(such as Xiaohongshu with picture 1:1, Douyin cover 9:16, public account header picture 16:9), no need to manually calculate pixels;
2. Secondary editing function :
   • Support "local modification": After generating the image, you can circle local areas (such as "Girl's Clothing Color"), enter new instructions (such as "Change Red Hanfu to Light Blue"), and only adjust the specified areas to avoid regeneration;
   • Support "style transfer": Upload existing images (such as personal photos), select a target style (such as "cartoon"), and generate new images with the corresponding style, which is suitable for making personalized avatars.

(3) History management and export: convenient reuse and storage

Solve the problem of "generated images are easily lost" and optimize the creative experience:

1. Historical record management :
   • Automatically save all generated images and corresponding instructions, and support filtering by "generation time, style type" to facilitate subsequent reuse (such as recreating similar style images) or modification (such as supplementing details based on historical instructions);
2. Export without watermark :
   • The generated images support watermark-free downloading in JPG/PNG format. The high-definition version can be directly used for printing, electronic promotion and other scenarios. A small and medium-sized merchant uses the generated product drawings to create an e-commerce details page, reducing the design cost by 60%.

typical application scenarios

• Personal creative expression : A student inputs "In the campus library under the stars, warm yellow light shines through the windows, and students are reading books at the door", and the generated image is used for the cover of the class graduation album without having to find a professional designer;
• Self-media content production : A food blogger inputs "ins-style breakfast setting, whole-wheat bread with fried eggs and avocado, the background is a light-colored wooden desktop, bright light", and generates accompanying pictures for small red book notes., the reading of single notes increased by 35%;
• Enterprise Lightweight Design : A startup company inputs a "minimalist style first draft of the brand LOGO, the main body is the letter 'A', incorporates gear elements, and the color is blue and white", generates multiple versions of the first draft and selects optimization, saving design outsourcing costs;
• Daily scene requirements : A parent enters "a cartoon-style children's birthday invitation letter with Page and George as the protagonists, balloons and cake in the background, and the text area is left blank", and after generation, it is printed for the children's birthday party invitation.

applicable population

Unique advantages (compared with similar AI drawing tools)

1. Bean bag ecological synergy :

   • It can be linked with other functions of bean bag (such as using bean bag to generate image description instructions and directly call the drawing function; using the generated image to match the bean bag copy), without cross-platform operations, and the creation efficiency is 30% higher than that of independent tools;
   • Based on the semantic understanding ability of the bean bun model, the details of Chinese instructions are captured more accurately (such as culturally related descriptions such as "ancient style" and "national trend"), and the generation effect is more in line with the expectations of domestic users.

2. Lightweight and low threshold :

   • The interface has no complex parameters (such as no need to manually adjust the "sampling steps and resolution parameters"). Newbies can master the "input commands-select style-generate" process within 1 minute. The learning cost is 80% lower than that of professional AI drawing tools (such as MidJourney);
   • Support short sentence instructions, even if you don't understand the design terms, you can still generate qualified images. A user feedback that "Enter 'beautiful cat avatar' and the generation effect is better than expected, without checking professional descriptors."

3. Compliance and Security :

   • Built-in content compliance filtering mechanism to automatically circumvent the generation of "vulgar, infringing, and sensitive elements", comply with domestic regulatory requirements, and avoid risks caused by the generation of illegal content;
   • The copyright of the generated image is clear (free license for non-commercial purposes, and the enterprise version is required for commercial purposes), which is safer than "free galleries with unknown copyright". No copyright complaints have occurred after a self-media person used it.

4. High cost performance :

   • The free quota meets daily needs. The annual fee for the personal creative version is only 139 yuan, which is 50% lower than the cost of similar tools (such as a tool paying 30 yuan a month). The commercial costs of small and medium-sized businesses are controllable.

precautions

1. Instructions description and suggestions :

   • Try to add information such as "subject, scene, style, details"(such as "Girl in a red dress is in a sunflower field, oil painting style, sunshine shines from the right"), and avoid entering only vague commands such as "Girl", otherwise the generated effect may deviate from expectations;
   • Avoid including "sensitive elements (such as politicians, vulgar content) and infringing elements (such as well-known IP characters)". Compliance filtering may lead to generation failure or content adjustment.

2. Copyright and Commercial Specifications :

   • The free version of the images generated can only be used in non-commercial scenarios (such as personal social sharing and non-profit content). For commercial purposes, the enterprise version needs to be opened and authorized to avoid infringement;
   • If the generated image contains "portraits of real people", it must be ensured that it complies with the Personal Information Protection Law and cannot be used for malicious purposes.

3. Payment function selection :

   • If individual users only use it daily, the free amount is sufficient; self-media/merchants need to generate or commercialize it at a high frequency, so it is recommended to choose the corresponding paid version to avoid affecting creation due to insufficient amount;
   • Enterprise users need to confirm the "commercial authorization scope" in advance (such as whether advertising and product packaging are included) to avoid exceeding the scope of use.

4. Generating rational expectations of effects :

   • Images generated by AI may have "detail deviations (such as hand proportions, blurred text)", and complex scenes (such as multi-character interactions) may not be as effective as simple scenes. It is recommended to optimize through the "local modification" function, or generate and adjust it multiple times;
   • The style selection needs to match the command (such as entering the "realistic photo" command to avoid selecting "cartoon style"), otherwise style conflicts will occur.