Comix Releases Free Know-how to Turn AI Image Generation into "Operations" and Launches "Image Generation Operation Support Plan"
Comix Inc. has released free know-how to transform generative AI image production from a manual task into reproducible "operations." Simultaneously, they launched a support plan for companies without dedicated designers, providing comprehensive assistance from environment setup to training.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 19:00
- 🔍 Collected: April 28, 2026 at 10:31
- 🤖 AI Analyzed: April 28, 2026 at 14:59 (4h 27m after Collected)
The burden of SNS operations and content production in corporate marketing and PR is increasing, leading to serious issues such as resource shortages and dependency on specific individuals. Meanwhile, business utilization of generative AI is progressing, with image generation technology accelerating its introduction into practical work along with quality improvements. Comix Inc. (HQ: Shibuya-ku, Tokyo; CEO: Akihiro Suzuki) will release free operational know-how for image production for companies and departments without professional designers, and will begin accepting consultations for the "Image Generation Operation Support Plan."
■ Background and Challenges
As SNS and owned media gain importance in marketing activities, about 90% of those in charge feel challenges in the content production process, with "maintaining content volume" and "improving production efficiency" ranking high. In SNS operations, "lack of staff resources (approx. 40%)" is considered the most serious concern, and in SMEs, it is common for the web and marketing departments to be combined or for there to be no dedicated person in charge.
In this context, survey results show that about 60% of business professionals use image generation AI in their work. However, the real problem in practice is not whether a single image can be made. It is reproducibility: whether multiple images can be made without inconsistencies, whether the tone can be aligned with posts and articles, and whether the same quality can be re-executed even if the person in charge changes. In an operation where images are generated manually one by one, the tone varies per post, file management becomes cluttered, and there is a risk that production will stop if the person in charge leaves.
To overcome these barriers of "individualization" and "operational efficiency," Comix Inc. has systematized know-how to divide roles between image generation and production management, transforming content production from a "task" into "operations." This material organizes practical methods that should be kept in mind by staff who need continuous output but lack a sufficient production system.
■ Provided Content
1) Free publication of image generation operational know-how materials
Materials summarizing semi-automation know-how for production lines in response to field issues such as marketing, PR, and recruitment will be released for free.
・Free Material: How to Turn Image Generation into "Operations" instead of a "Task"
Main content of the material (excerpts):
- Concept of separating image generation and production operations (division of roles between visual generation and design/management)
- 5 elements necessary for good image prompts (purpose, size, main message, design rules, prohibitions)
- Basic pipeline from theme decomposition to quality checks and post calendar creation
- Quality check perspectives and operation of pre-approval checklists to prevent publication risks
- File structure to prevent individualization
- Templating methods
2) Acceptance of consultations for the "Image Generation Operation Support Plan"
In addition to material publication, consultations will begin for the "Generative AI Image Generation Operation Support Plan," which supports the introduction and establishment of generative AI in content production. The support is designed on the premise that the site can run independently, with three main pillars:
- Environment Setup: Preparation of a safe usage environment based on security measures and brand guidelines.
- Guideline Formulation: Establishment of usage rules to prevent publication risks (forbidden expressions, approval flows, etc.).
- Establishment Training: Accompanying training to learn everything from theme decomposition to building a re-executable production flow.
Free consultations for AI utilization are available here. By answering a free diagnosis questionnaire, you can register for an online free consultation. Materials will be provided during the online consultation.
■ Features and Strengths
- Semi-automation of production lines: Not just image generation techniques, but a system covering posts, images, articles, checklists, and posting calendars as a series of production operations.
- Elimination of individualization: Verbalizing and fixing production rules (size, color, text volume, NG expressions, etc.) to achieve reproducibility where quality does not waver even if the person in charge changes.
- Suppression of publication risks: To prevent expressions that lead to brand damage or misunderstanding, prohibitions are clarified and "pre-publication checklists" are integrated into the operational flow.
- Small start premise: A safe introduction design that first creates success in small units and then expands to the whole company step-by-step.
■ Targeted Users and Use Case Scenes
Targeted Users:
- Marketing staff: Those who post continuously on SNS or note but cannot request a designer every time, resulting in inconsistent tones.
- PR/Recruitment staff: Those who want to insource SNS images for recruitment PR or supplementary diagrams for press releases while suppressing brand risks.
- SME owners/Shop owners: Those who want to streamline posting tasks such as campaign announcements or job postings without a dedicated production person.
Example Use Case Scenes:
- Content Marketing: Mass production of explanatory images for X posts, creation of thumbnails for note articles, production of illustrations for white papers.
- Sales/Customer Success: Problem-solving diagrams for sales materials, introduction flow diagrams, manual operations...
■ Background and Challenges
As SNS and owned media gain importance in marketing activities, about 90% of those in charge feel challenges in the content production process, with "maintaining content volume" and "improving production efficiency" ranking high. In SNS operations, "lack of staff resources (approx. 40%)" is considered the most serious concern, and in SMEs, it is common for the web and marketing departments to be combined or for there to be no dedicated person in charge.
In this context, survey results show that about 60% of business professionals use image generation AI in their work. However, the real problem in practice is not whether a single image can be made. It is reproducibility: whether multiple images can be made without inconsistencies, whether the tone can be aligned with posts and articles, and whether the same quality can be re-executed even if the person in charge changes. In an operation where images are generated manually one by one, the tone varies per post, file management becomes cluttered, and there is a risk that production will stop if the person in charge leaves.
To overcome these barriers of "individualization" and "operational efficiency," Comix Inc. has systematized know-how to divide roles between image generation and production management, transforming content production from a "task" into "operations." This material organizes practical methods that should be kept in mind by staff who need continuous output but lack a sufficient production system.
■ Provided Content
1) Free publication of image generation operational know-how materials
Materials summarizing semi-automation know-how for production lines in response to field issues such as marketing, PR, and recruitment will be released for free.
・Free Material: How to Turn Image Generation into "Operations" instead of a "Task"
Main content of the material (excerpts):
- Concept of separating image generation and production operations (division of roles between visual generation and design/management)
- 5 elements necessary for good image prompts (purpose, size, main message, design rules, prohibitions)
- Basic pipeline from theme decomposition to quality checks and post calendar creation
- Quality check perspectives and operation of pre-approval checklists to prevent publication risks
- File structure to prevent individualization
- Templating methods
2) Acceptance of consultations for the "Image Generation Operation Support Plan"
In addition to material publication, consultations will begin for the "Generative AI Image Generation Operation Support Plan," which supports the introduction and establishment of generative AI in content production. The support is designed on the premise that the site can run independently, with three main pillars:
- Environment Setup: Preparation of a safe usage environment based on security measures and brand guidelines.
- Guideline Formulation: Establishment of usage rules to prevent publication risks (forbidden expressions, approval flows, etc.).
- Establishment Training: Accompanying training to learn everything from theme decomposition to building a re-executable production flow.
Free consultations for AI utilization are available here. By answering a free diagnosis questionnaire, you can register for an online free consultation. Materials will be provided during the online consultation.
■ Features and Strengths
- Semi-automation of production lines: Not just image generation techniques, but a system covering posts, images, articles, checklists, and posting calendars as a series of production operations.
- Elimination of individualization: Verbalizing and fixing production rules (size, color, text volume, NG expressions, etc.) to achieve reproducibility where quality does not waver even if the person in charge changes.
- Suppression of publication risks: To prevent expressions that lead to brand damage or misunderstanding, prohibitions are clarified and "pre-publication checklists" are integrated into the operational flow.
- Small start premise: A safe introduction design that first creates success in small units and then expands to the whole company step-by-step.
■ Targeted Users and Use Case Scenes
Targeted Users:
- Marketing staff: Those who post continuously on SNS or note but cannot request a designer every time, resulting in inconsistent tones.
- PR/Recruitment staff: Those who want to insource SNS images for recruitment PR or supplementary diagrams for press releases while suppressing brand risks.
- SME owners/Shop owners: Those who want to streamline posting tasks such as campaign announcements or job postings without a dedicated production person.
Example Use Case Scenes:
- Content Marketing: Mass production of explanatory images for X posts, creation of thumbnails for note articles, production of illustrations for white papers.
- Sales/Customer Success: Problem-solving diagrams for sales materials, introduction flow diagrams, manual operations...