Jaaz

When design tools are still plagued by “cloud data privacy risks, subscription cost pressures, and cumbersome multi-software switching” and other issues, Jaaz, the world’s first open-source multi-modal creative assistant developed by a domestic team, completely breaks the limitations of traditional tools with its core architecture of “local deployment + full-process AI closed-loop + open-source customizable”. The core structure of “local deployment + full-process AI closed loop + open source customizable” completely breaks the limitations of traditional tools. Whether it’s a small or medium-sized enterprise that inputs “generate 10 pet snacks promotional posters” or an independent creator that requests “design a picture book storyboard with hand-drawn style”, Jaaz can complete the whole process from creative analysis, content generation to editing and exporting through natural language interaction, and all data is edited throughout the entire process. Jaaz can complete the whole process from creative analysis, content generation to editing and exporting through natural language interaction, and all data is processed locally, making “free, safe and efficient creative production” a reality.

Core Positioning: From “Cloud Dependency” to “Local Autonomy”, Defining a New Generation of Creative Tools

The key to differentiate Jaaz from Canva, Lovart and other tools lies in its unique positioning as an “open source local multimodal creative agent” – not only does it have professional design capabilities, but it also takes privacy, security and freedom of customization as its core strengths, solving the three major pain points of the creative industry. 创意行业三大痛点：

(i) Privacy Priority: Local Operation, Absolute Control of Data

Traditional SaaS design tools need to upload materials and finished products to the cloud, which poses the risk of leaking business secrets, while Jaaz realizes the ultimate privacy protection of “data does not leave the device”:

• Closed-loop local process: From requirement input, modeling to finished product export, all processes are completed locally on the user’s computer without the need for internet access, especially suitable for confidential enterprises or for creation in a network-less environment;
• Zero data tracking mechanism: the official commitment not to collect user creation data, there is no hidden risk of “material being used for model training”, financial, medical and other data-sensitive industries can be safely used;
• Private Deployment Adaptation: Enterprise users can deploy locally based on open source code, set up multi-user isolation permissions to ensure that team creative assets are only circulated internally, and the TCO (Total Cost of Ownership) is 62% lower than Adobe’s solution. A startup brand used Jaaz to design its core product packaging, and because it didn’t need to upload the design to the cloud, it successfully avoided the risk of competitors obtaining the idea in advance.

(ii) Open source freedom: highly customizable, free from tool lock-in

Jaaz adopts the MIT open source protocol, giving users a degree of freedom far beyond that of closed source tools, making it an ideal choice for developers and advanced users:

• Completely open code: the project is hosted on GitHub and has received more than 8,500 star ratings. Developers are free to modify the core modules (e.g., integrating new models, customizing the interaction logic), or even develop it into a proprietary tool for the second time;
• Flexible model adaptation: supports integration of 12+ local and cloud models – locally, we can run LLaMA, Mistral, and other large language models deployed by Ollama, as well as image models such as Stable Diffusion, Flux Dev, etc.; in the cloud, we can access GPT-4o, Flux Dev, etc. to improve the quality of generation. Kontext, etc. can be accessed in the cloud to improve the generation quality, realizing the hybrid model of “local free light-weight tasks and cloud efficiency for heavy-duty rendering”;
• Ecological free expansion: compatible with ComfyUI workflow, can import third-party model weights and plug-ins, for example, illustrators can integrate exclusive line drawings to generate models, game developers can docking 3D character modeling plug-ins, breaking through the boundaries of the official function.

(C) Full-process AI: Conversational interaction, zero threshold for creation

Jaaz completely simplifies the creation process, eliminating the need to master specialized software operations and completing complex design tasks with natural language alone:

• Intelligent demand analysis: input “design Web3.0 concept technology style promotional video, duration 2 minutes”, the AI will automatically disassemble the core elements (theme: Web3.0; style: technology style; form: short video; duration: 2 minutes), generating a blueprint that contains lens logic, visual style, and soundtrack scheme;
• Integration of multimodal generation: supports cross-modal creation of “text→graphic→video→audio” – automatically matching typography and color scheme when generating posters, and synchronously generating background music (integrated MuseNet model) when making short videos, avoiding the efficiency loss of switching between multiple tools. avoiding the efficiency loss of multi-tool switching;
• Dialogization of editing adjustments: After generating the first draft, you can directly modify it with natural language, such as “remove the background text in the poster”, “change the color tone of the video to cold color”, “keep the same character image, change the scene to space”, AI accurately and accurately modalizes the editing process. “, AI responds accurately to the operation without manually selecting layers or adjusting parameters. A self-media blogger feedback, using Jaaz to make “AI development brief history” short video, from the script to the finished film only took 15 minutes, far more than the efficiency of the 2-hour combination of cut screen + Canva.

Function Matrix: Build a full-scene toolset around “local multimodal creation”.

Jaaz’s functional design closely follows the needs of the whole cycle of “creative conception – content generation – editing and optimization – delivery and application”, and each module has been tested and verified to be 100% consistent with the official description:

(i) Core Creative Functions: Full coverage of multimodal capabilities

• Intelligent generation engine:
  • Multi-Type Content Generation: Supports 10+ types of creation such as posters, storyboards, short videos, PPT visual covers, 3D concept maps, etc., and automatically adapts the format after inputting the requirements – social media materials have a default ratio of 9:16, and printed posters automatically adopt CMYK color gamut;
  • Batch Generation Capability: Up to 40 differentiated design proposals can be generated in a single pass, supporting “same style variants” (e.g., 4 styles of pet snack posters) or “series of sub-scenes” (e.g., 12-frame storyboards for children’s illustrated books), which improves the efficiency of illustrated book creation by 3 times;
  • Intelligent optimization of prompt words: automatically completing parameters for fuzzy requirements, such as inputting “design coffee brand packaging”, AI will ask “whether there are brand colors, reference styles, or IP elements”, generating structured prompt words containing materials, color schemes, and layout, which can be directly confirmed or modified by the user. directly confirm or modify;
• All-in-one creative canvas:
  • Unlimited canvas editing: Adopt Figma-like borderless canvas, support drag-and-drop layout, multi-layer overlay, zoom and pan, and freely combine generated images and video clips, suitable for creating storyboards or multi-image stitching posters;
  • Cue-less creation: support “sketch + annotation” interaction — draw simple lines with your hands, mark “here is the product body” with arrows, and AI immediately recognizes and generates visual content that conforms to the composition, reducing the threshold for creativity. AI immediately recognizes and generates visual content that matches the composition, lowering the threshold of creative landing;
  • Collaboration and version management: support multi-person online collaboration (through local LAN or cloud synchronization), automatically save the creation version, labeled with “modification time + operation content”, which is convenient for backtracking and comparing different scenarios;
• Professional-grade editing toolbox:
  • Object-level precision operations: support for removing backgrounds, replacing local elements, style migration, non-destructive zoom and other professional functions, keying accuracy up to hair level, style conversion can retain the main features (such as converting a photo to a hand-painted style);
  • Multi-format export: images support PNG (transparent/opaque background), JPG, and print-grade PDF; video output in MP4 format is suitable for platforms such as Jittery, Video, etc.; 3D models can be exported in OBJ format for subsequent rendering;
  • Adjustable quality parameters: when generating, you can set the resolution (up to 4K), number of generation, style intensity and other parameters; the default output of local models is 1080P, and it can be upgraded to 4K precision by calling cloud models.

(II) Auxiliary Functions: Enhancing Efficiency and Creative Quality

• Model Management Center:
  • One-click deployment of local models: Ollama quick configuration guide is provided, which supports Windows, macOS and Linux systems, and novices can complete the installation of LLaMA, Stable Diffusion and other models through the graphical interface without complex command line operations;
  • Automatic model switching: when generation fails, the system will automatically switch to an alternate model (e.g., if local Flux Dev generation fails, then call cloud Flux Kontext), and prompt the reason for failure (e.g., “insufficient local video memory”);
• Creative Resource Library:
  • Cue word templates: Built-in 20+ scene templates such as “product poster”, “picture book split screen”, “technology short video”, etc. Users can replace the key information (e.g. brand name, product features) to quickly generate content. Generate content quickly;
  • Material Management: Supports importing local materials (e.g. brand LOGO, IP character map), which are automatically reused when generating to ensure the consistency of the elements of the series design;
• Running mode adaptation:
  • Pure Local Mode: Only Ollama and local image models are enabled, running completely offline, suitable for network-less environments or high-privacy scenarios;
  • Hybrid mode: use local model for light tasks (e.g. cue word optimization) and call cloud API for heavy tasks (e.g. 4K video generation), balancing cost and quality.

(iii) Enterprise-level features: meet team and business needs

• Brand Asset Control: Support uploading brand color swatches, fonts, logos and other assets, which are automatically invoked when generating designs to ensure that all materials meet VI specifications and avoid style deviations;
• Batch task scheduling: e-commerce teams can access the API to batch generate “3 promotional images + 1 short video for each product”, and the system automatically categorizes and stores them according to the products, adding watermarks and brand information when exporting;
• Security sandbox mechanism: isolate the model computing environment to avoid local system resource conflicts, while preventing malicious model calls, to protect the safety of enterprise equipment.

Third, the use of the process: three steps to complete the creation, zero basis can also get started!

Jaaz’s operation process is concise to “input requirements → generate adjustments → export and use”, the official steps are as follows (has been verified to be completely consistent with the actual test):

(a) The first step: deploy the tool, configure the model (the first time you use it)

1. Download and Installation: Visit the official website of Jaaz ( https://ai-bot.cn/jaaz/) to download the desktop client, which supports Windows and macOS systems, and the installation process does not require complex configuration;
2. Model Configuration:
   • Local model (free): After installing Ollama, deploy LLaMA (Large Language Model) and Stable Diffusion (Image Model) with one click in Jaaz, and the system will automatically detect the hardware configuration and recommend the adapted model;
   • Cloud model (optional): if you need higher quality, you can access OpenAI API or Flux Kontext, pay per call, support binding API key to complete the configuration.

(ii) Step 2: Input requirements, start generation

1. Describe the idea: In the dialog box, describe the requirement in detail in natural language, and it is recommended to include “Type, Theme, Style, Quantity, Format”. For example: “Design 4 hand-drawn style posters for Billy’s pet snacks, highlighting the selling point of ‘no additive’, size 9:16, including poodle IP image”;
2. Optimization requirements (optional): if the description is vague, AI will proactively ask for details (e.g. “Do you prefer watercolor or pastel art for the hand-drawn style?”). If the description is vague, AI will ask for details (e.g. “hand-painting style preference: watercolor or pastel art?”); if the description is vague, AI will ask for details (e.g. “Hand-painting style preference: watercolor or pastel art?
3. Start the task: click “Generate”, the system displays the progress of “Analyzing Requirements → Calling Model → Rendering Content”, it takes about 2 minutes and 37 seconds to generate 10 images, and about 10 minutes for a 2-minute short video.

(iii) Step 3: Edit and adjust, export finished products

1. Preview and filtering: After the generation is completed, all the contents are displayed in thumbnails, which support zooming in to view the details, clicking “Favorites” to mark the preferred solutions and delete the contents that do not meet the requirements;
2. Natural language modification: Input adjustment commands in the dialog box, such as “change the background of the poster to grass”, “shorten the length of the video to 1 minute”, “keep the image of the poodle unchanged and change the action”, AI will modify the video in 30 minutes. “, AI will finish the update within 30 seconds;
3. Export for use: select the final program, click “Export”, choose the format (image: PNG/PDF; video: MP4) and parameters (resolution, whether to add a watermark), download to the local or directly share to social platforms.

Application Scenarios: Covering Individuals and Enterprises to Meet Multiple Creative Needs

Jaaz’s functional design accurately matches the needs of different user groups, and the tested scenarios are highly compatible with the official description:

(I) Brand building for small and medium-sized enterprises: the first choice for cost reduction and efficiency increase

• VI system construction: startup brands input “design a full set of VI, including LOGO, packaging, posters, hand-drawn graffiti style”, Jaaz 8 minutes to generate a full set of initial case, the cost of outsourcing 90% lower, and support for modification and iteration at any time;
• Batch production of marketing materials: e-commerce enterprises for 10 new products to generate “3 posters + 1 short video”, a single output of 40 images and 10 videos, automatically adapted to Shake, Xiaohongshu and other platforms format, release efficiency increased by 8 times.

(ii) Content creation: Improve the efficiency of creative landing

• Self-media bloggers: Knowledge bloggers type in “Make a 3-minute short video on the history of AI development”, and Jaaz automatically generates lens scripts, visual images, voice-overs, and music, eliminating the need for manual editing, and increasing the speed of content output by 60%;
• Illustrators and picture book authors: Enter “Generate a 12-frame storyboard for a children’s picture book, forest adventure theme, watercolor style”, AI batch generation of scopes can be used to adjust the order of unlimited canvases, and the automatic coloring of line drawings only takes 30 minutes, which saves 5 hours compared to the traditional process;
• Independent game developers: use Jaaz to batch generate character elevation drawings and scene concept maps, enter “cyberpunk style, female character + abandoned city background”, the generated 3D concept maps can be exported to OBJ format for subsequent modeling.

(III) Education and Training: Visualized Teaching Aids

• Classroom teaching aids: Biology teachers input “Generate 3D posters of cell structure, labeled with organelle names, cartoon style”, AI generates intuitive teaching diagrams to help students understand abstract concepts;
• Course promotional materials: training institutions input “design online programming course banner, blue tone, highlighting the ‘zero basis to start'”, quickly generate promotional graphics in line with the brand tone, without professional design support.

(D) In-house creativity: safe and controllable solutions

• Financial industry: when designing promotional materials for financial products, banks use pure local mode creation to ensure that customer data and product information are not leaked, while generating compliant promotional materials in batch;
• Team Collaboration: Design teams share canvases on the LAN, work together to complete advertising storyboards, modify and save versions in real time, avoiding the tediousness of file transfer and version confusion.