Generative AI, AI Creator Job & Recruitment Information Summary | Latest Global & Japan Opportunity Comparison Portal

2025-09-27Updated:2025-09-272 Mins Read Business 65 Views

With the evolution of generative AI technology, opportunities for AI Creators (AI Artists) are expanding year by year, with growing demand across diverse fields. Companies are increasingly adopting generative AI for product and service differentiation, content creation quality improvement, efficiency enhancement, reproducibility improvement, workflow establishment, and cost reduction, leading to a growing trend in AI Creator job openings.

When searching for overseas positions, switching search terms to English expressions (such as “AI Creator,” “Generative AI,” “AI Director,” etc.) makes it easier to find more job listings.
On Japanese platforms, utilizing keyword searches like “AIクリエイター,” “生成AI,” “AIディレクター,” along with scouting features and agent support, makes it easier to find positions that match your profile.

Global Generative AI and AI Creator Related Job Sites List

Site Name	Operating Country	Features
Curious Refuge	United States (Los Angeles)	Video/film AI artist projects and community focus
LinkedIn Jobs	United States	World’s largest business SNS. Abundant overseas remote projects
AIJobs.ai	Singapore	Specialized in AI-related positions, from major corporations to startups, remote projects available

Japanese Generative AI and AI Creator Related Job Sites List

Site Name	Employment Type	Features
Indeed	Full-time/Contract/Temporary/Freelance	World’s largest job search engine. Covers wide range of industries and job types.
Massmedian	Full-time/Contract	Marketing and creative job recruitment agency
Kyujin Box	Full-time/Part-time/Temporary/Contract/Freelance/New Graduate/Internship	Comprehensive search for jobs, career changes, part-time work, and employment opportunities nationwide
Green	Full-time/Contract/Freelance	Numerous job opportunities in IT/Web industry
Job Site type	Full-time/Part-time/Temporary/Contract/Freelance/New Graduate/Internship	Job site type is a career site specializing in IT and Web industries
Career & Job doda	Full-time/Contract/Freelance	Various industries and job types, from major corporations to ventures, diverse job opportunities
Geekly	Full-time/Contract	IT-specialized career support service
CrowdWorks	Project (Fixed)/Project (Hourly)/Competition Tasks	Online outsourcing to skilled professionals when you need them
SOKUDAN	Full-time/Freelance/Contract/Part-time	Freelance, side job projects, and job matching site

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Generative AI Directory: Tools, Guidelines & Global Events [Updated]

2025-09-28Updated:2025-09-284 Mins Read Business 79 Views

To successfully leverage generative AI, proper tool selection, guideline development, and staying updated with the latest trends are essential. Generative AI offers wide-ranging benefits including improved business efficiency, creative support, and idea generation. However, since there are also challenges such as information reliability and cost management, appropriate implementation planning is crucial.
This link collection comprehensively covers the following categories based on the latest information as of the date below.

Updated: 2025/08/14

Generative AI Creative Tools Link Collection

We have carefully selected text, image, and voice generation tools, as well as free and paid tools that directly contribute to business efficiency improvement, organized by use case.

en.ai-creators.tech/media

2025 Latest Edition: Curated List of Recommended AI Image Generators For Prof…

https://en.ai-creators.tech/media/image/recommended-img/

2025 Latest Edition:Curated List of Recommended AI Image GeneratorsFor Professional CreatorsAI image generators have dramatically transformed creative workflows and have become essential tools for professional creators. As of 2025, AI image generators offer diverse options in both web services and local environments, and it's crucial to understand the characteristics related to commercial use permissions, costs, and specific applications.This article introduces the latest AI image genera…

en.ai-creators.tech/media

[2025 Latest Edition] Complete List of Recommended AI Video Generation Tools

https://en.ai-creators.tech/media/video/recommended-video/

2025 Latest Edition:Carefully Selected List of Recommended AI Video Generation ToolsWeb-Based AI Video Generation ServicesAs of 2025, with the remarkable advancement of AI technology, AI video generation tools are being utilized across a wide range of fields, from corporate marketing to individual creators. Numerous innovative tools have emerged that can automatically generate high-quality videos from text, significantly simplifying the traditional video production process.We will introduce t…

Generative AI Events, Competitions & Seminars Information Link Collection

We introduce exhibitions and conferences where you can catch up on the latest technology trends.

Event Name	Official URL	Host Country	Features
AI Film Festival: AIFF	https://aiff.runwayml.com/	United States	Hosted by RunwayML. A festival celebrating AI × video works, screening short films selected from 6,000 submissions. Also held in Los Angeles and Paris.
AI & Artificial Intelligence EXPO	https://www.nextech-week.jp/hub/en-gb.html	Japan	Japan's largest specialized AI technology exhibition. The latest AI technologies (generative AI, AI agents, chatbots, deep learning, natural language processing, image recognition, etc.) for various industries including manufacturing, logistics, finance, and retail converge here.
VS AI Street Fighting｜VS AI 街頭對戰	https://www.dimensionplus.co/works/2023_vsai/	Taiwan	A new-sensation competitive art game using AI technology. Using arcade game machines, participants input prompts into AI image generation tools (Midjourney) and compete to create images that match the theme within a time limit. An international competition where the quality of works is evaluated.
AI Art GrandPrix	https://www.aiartgrandprix.com/	Japan	A contest that widely solicits art works created using AI technology for evaluation and recognition. In response to AI advances that enhance human artistic creativity, it aims to create art works where humans and AI coexist and humans utilize AI to further expand their capabilities.
Escape AI	https://escape.ai/	United States	Collects, discovers, and supports monetization of experimental videos and interactive short films called "Neo Cinema" that utilize generative AI and game engines. Aims to be a creator-driven future platform that differs from traditional video services.
Adobe MAX	https://max.adobe.com/	United States	A creativity festival where the latest information about Adobe's generative AI features like Photoshop and Firefly is announced. Held annually in October, expanding globally from LA headquarters.
Tokyo AI Festival	https://www.aisai.tokyo/en	Japan	Japan’s largest AI tech conference. AI companies and experts from Japan and abroad gather to create a venue for cutting‑edge insights and networking. Hackathon / Generative AI Creative Contest / Talk Sessions / Company Booths
Generative AI Exhibition	https://x.com/hashtag/生成AIなんでも展示会	Japan	An exhibition for independent generative AI developers — the largest AI-focused indie developer event in Japan. Visitors can experience projects packed with each creator’s personal passions and learn about the workflows behind them.

Generative AI Guidelines Information Link Collection

We introduce global guideline organizations.

Organization Name	Official URL	Operating Entity	Features
OECD AI	https://oecd.ai/en/	OECD Member Countries (36 countries)	The "AI Principles" were signed and adopted by 42 countries at the Annual Ministerial Meeting in May 2019, including the then 36 OECD member countries and 6 partner countries: Argentina, Brazil, Colombia, Costa Rica, Peru, and Romania.
EU AI Act	https://artificialintelligenceact.eu/	EU	A law enacted by the European Union (EU) to regulate the development, deployment, and use of artificial intelligence (AI) systems. It establishes regulations based on AI risk levels and imposes strict requirements on high-risk AI systems to ensure AI safety and reliability while promoting innovation.
AI Business Guidelines	https://www.meti.go.jp/english/press/2024/0419_002.html	Japan	The Ministry of Economy, Trade and Industry and the Ministry of Internal Affairs and Communications have created the "AI Business Guidelines (Version 1.0)" by integrating and updating existing related guidelines through discussions with experts to address rapid technological changes including the proliferation of generative AI.
AI and Copyright	https://www.bunka.go.jp/english/policy/copyright/index.html	Japan	Regarding the relationship between AI and copyright, the Cultural Council Copyright Subcommittee Legal System Subcommittee compiled "Thoughts on AI and Copyright" in March 2024.

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The post 2025 Latest Edition: Curated List of Recommended AI Image Generators For Professional Creators first appeared on AI Creators.

FramePack

• Low VRAM support: Operates with 6GB+ GPU memory, usable on typical gaming PCs
• Long video generation: Capable of generating high-quality videos up to 120 seconds
• Revolutionary architecture: Maintains quality even in long videos through “fixed context length” and “reverse anti-drift sampling”
• Local execution: No internet connection required, suitable for privacy-focused environments
• Open source: Published on GitHub, free to use and customize
• Diverse input formats: Supports video generation from text and images
• Supported OS: Windows, Linux (including WSL2)

FramePack is a locally executable AI tool that can generate high-quality videos from still images or text. With 6GB+ GPU memory, it can generate videos up to 120 seconds long, particularly excelling in animation and realistic motion reproduction. Its revolutionary architecture prevents quality degradation in long videos, providing stable footage. Being open source, it’s an optimal choice for creators and companies prioritizing privacy.


Wan 2.1

• Local execution capability: Completely offline execution possible on home PCs when combined with ComfyUI
• Free and open source: Published under Apache 2.0 license, completely free including commercial use
• Low-spec GPU support: 1.3B model operates with around 8GB VRAM, usable on typical gaming PCs
• Text/image to video generation support: Supports both T2V (Text-to-Video) and I2V (Image-to-Video)
• Diverse generation styles: Supports realistic, anime styles, dynamic camera work and compositions
• GUI support: Node-based GUI operation possible with ComfyUI, automating video production without coding

Wan 2.1 is an open-source video generation AI developed by Alibaba, a revolutionary model that can generate high-quality videos of several seconds from text or images in local environments. Its key feature is GUI operation through ComfyUI integration, requiring no programming. Additionally, its lightweight nature operating with around 8GB VRAM and free license allowing commercial use are attractive features.

The post [2025 Latest Edition] Complete List of Recommended AI Video Generation Tools first appeared on AI Creators.

This is where negative prompts become crucial. By properly setting negative prompts, you can instruct the AI about “elements to avoid,” enabling the creation of more ideal images.

This article provides a detailed explanation of everything from the importance of negative prompts to methods for preventing art collapse and specific usage examples.

What is the Importance of Negative Prompts in Stable Diffusion?

Stable Diffusion is an AI model that can generate images from text. To create more precise images, it’s important to craft your prompts (instruction text) carefully, and among these, “negative prompts” are one of the elements that significantly affect quality.

By properly utilizing negative prompts, you can eliminate unintended elements and generate more ideal images.

What are Negative Prompts?

Negative prompts are prompts used to specify “elements you don’t want to generate.”
While regular prompts (positive prompts) instruct “what kind of image you want to create,” negative prompts do the opposite by telling the AI about “elements you don’t want to include.”

For example, they are used in cases like:

• Reducing image noise (avoiding blur and distortion)
• Excluding specific objects (creating faces without glasses, etc.)
• Unifying art styles (preventing unnatural mixing)

By using negative prompts, you can improve the quality of generated images.

Why are Negative Prompts Important?

By utilizing negative prompts, you can have more precise control over Stable Diffusion’s output. They play particularly important roles in the following aspects:

Image Quality Improvement

In AI image generation, unintended shapes or noise can sometimes appear. By setting negative prompts like “blurry” or “distorted,” you can create sharper and clearer images.

Getting Closer to Your Ideal Style

To maintain a specific style or aesthetic, using negative prompts like “low quality” or “bad anatomy” can help you achieve a more consistent finish.

Eliminating Unwanted Elements

For example, by setting elements like “glasses” or “hat” as negative prompts, you can generate characters or portraits without these features. Particularly in human generation, “extra fingers” is frequently used to avoid this common issue.

In this way, negative prompts can be considered an essential element for creating ideal images with Stable Diffusion. By using them appropriately, you can generate more precise images.

Effective Ways to Use Negative Prompts

To generate ideal images with Stable Diffusion, utilizing negative prompts is essential. By setting them appropriately, you can eliminate unintended elements and obtain higher quality images.

Here, we’ll explain specific application methods for negative prompts and key points for improving image generation quality.

How to Apply Negative Prompts

To use negative prompts effectively, it’s important to select appropriate keywords and adjust them according to the model’s characteristics.
Following these steps will help you achieve more desirable results:

Set Basic Negative Prompts

First, set keywords that eliminate elements that generally lower image quality. Here are examples of typical negative prompts:

low quality, blurry, distorted, deformed, bad anatomy, extra fingers

• low quality, blurry (low quality, blur)
• distorted, deformed (distortion, deformation)
• bad anatomy, extra fingers (unnatural human body, extra fingers)

By setting these as basics, you can stabilize image quality.

Add Specific Unwanted Elements

Next, specify elements you want to avoid based on the content of the image you’re generating. For example, if you want to generate realistic people, exclude “cartoon, anime style,” or conversely, if you want to create anime-style characters, exclude “realistic, photorealistic” to get closer to your intended style.

Adjust Prompt Weights

In Stable Diffusion, you can specify weight (strength) for each prompt. For example, specifying “blurry:1.5” instructs the system to exclude “blur” 1.5 times stronger than normal. It’s important to find the optimal balance by adjusting weights as needed.

Key Points for Improving Image Generation Quality

By effectively utilizing negative prompts, you can generate higher quality images. Particularly by following these points, you can achieve more precise results:

Eliminate Unintended Noise

AI-generated images can sometimes include unintended noise or deformities. Setting negative prompts like “artifacts, noisy, grainy” can help create cleaner images.

Focus on Style Consistency

To unify the art style of images, excluding unwanted style keywords is effective. For example, if you want to create realistic illustrations, setting “cartoon, comic, sketch” as negative prompts is effective.

Improve Composition and Posing Accuracy

Especially when generating images of people or characters, excluding “bad hands, bad legs, wrong perspective” can help achieve more natural poses.

Understand Each Model’s Characteristics

The effectiveness of negative prompts varies depending on the version of Stable Diffusion and the model you’re using. It’s important to make adjustments through trial and error to find the optimal keywords for the model you’re using.

【Purpose-Based】Recommended Negative Prompt Collections

When using Stable Diffusion, properly setting negative prompts can eliminate unwanted elements and generate more ideal images.

Here, we’ll introduce recommended negative prompts organized by purpose.

Prompts to Prevent Low-Quality Image Generation

AI image generation can sometimes result in unintentionally low-quality outputs. Using the following negative prompts makes it easier to obtain sharp, high-quality images:

low quality, worst quality, blurry, pixelated, JPEG artifacts, noisy, grainy, washed out, overexposed, underexposed

• low quality, worst quality (low quality)
• blurry, pixelated (blur, pixelation)
• JPEG artifacts, noisy, grainy (compression noise, grain noise)
• washed out, overexposed, underexposed (washed out colors, overexposure, underexposure)

By setting these as negative prompts, you can more easily generate sharp, high-quality images.

Eliminating Inappropriate Elements (NSFW)

Stable Diffusion may generate images containing inappropriate content. Particularly when you want to eliminate NSFW (Not Safe For Work) elements, the following negative prompts are effective:

nsfw, nude, nudity, explicit, sexual, erotic, gore, blood, violence, disturbing, horrifying, creepy

• nsfw, nude, nudity (adult content)
• explicit, sexual, erotic (sexual expressions)
• gore, blood, violence (violence, blood)
• disturbing, horrifying, creepy (disturbing, horrifying, creepy)

By setting these, you can prevent the generation of inappropriate images.

Preventing Art Collapse and Deformities

In AI-generated images, human body proportions can sometimes become unbalanced or unnatural shapes can be generated. Using the following negative prompts can help generate more natural human bodies:

deformed, malformed, disfigured, mutated, extra fingers, extra limbs, bad anatomy, unnatural body proportions, wrong proportions, distorted face

• deformed, malformed (deformation, malformation)
• disfigured, mutated (disfigurement, mutation)
• extra fingers, extra limbs (extra fingers, extra limbs)
• bad anatomy, unnatural body proportions (unnatural body structure, body proportions)
• wrong proportions, distorted face (incorrect proportions, distorted face)

Particularly “extra fingers” and “bad anatomy” are effective when set during human generation.

Removing Text and Logos

Stable Diffusion sometimes unintentionally includes text or logos in images. To prevent this, setting the following negative prompts is effective:

text, signature, watermark, logo, brand name, advertisement, caption, subtitle, overlay

• text, signature, watermark (text, signature, watermark)
• logo, brand name, advertisement (logo, brand name, advertisement)
• caption, subtitle, overlay (caption, subtitle, overlay)

Adding these makes it easier to generate clean images.

Avoiding Specific Styles or Backgrounds

When you want to avoid specific art styles or backgrounds, utilizing the following negative prompts is effective:

• cartoon, anime, comic (anime style, comic style)
• sketch, painting, watercolor (sketch, painting, watercolor)
• photo, photorealistic (photo, photorealistic)
• dark, gloomy, horror (dark, gloomy, horror style)
• cityscape, urban, crowded (cityscape, urban, crowded)

For example, if you want to generate realistic images, set “cartoon, anime, comic” as negative prompts, and if you want to create anime-style images, exclude “photo, photorealistic” to maintain your intended atmosphere more easily.

Precautions and Tips for Creating Negative Prompts

By properly setting negative prompts, you can eliminate unwanted elements and generate more ideal images. However, incorrect settings can cause unintended effects or reduce image quality.

Here, we’ll explain hints for creating effective negative prompts and mistakes to avoid.

Hints for Creating Effective Prompts

By properly utilizing negative prompts, you can improve the precision of image generation. Following these points will help you create more effective prompts:

Set Basic Negative Prompts

First, set commonly used general negative prompts to improve quality:

low quality, worst quality, blurry, deformed, distorted, malformed, extra fingers, bad anatomy, unnatural body

• low quality, worst quality, blurry (low quality, blur)
• deformed, distorted, malformed (deformation, distortion)
• extra fingers, bad anatomy, unnatural body (extra fingers, unnatural human body)

It’s good to set these as basic negative prompts while adding more specific negative prompts according to your purpose.

Add Keywords According to Your Purpose

Adding more specific keywords according to the image you want to create will help you get closer to your intended results. For example, when creating realistic people, exclude “cartoon, anime,” and when creating anime-style characters, exclude “realistic, photorealistic” for better results.

Adjust Prompt Weight (Intensity)

In Stable Diffusion, you can specify the strength of prompts numerically. For example, “blurry:1.5” instructs the system to exclude “blur” 1.5 times stronger.

However, applying too much strength can disrupt the image balance, so it’s important to find the optimal value through adjustment. By being mindful of these points when setting negative prompts, you can more easily generate higher quality images that match your purpose.

What Mistakes in Settings Should You Avoid?

When setting negative prompts, avoiding the following mistakes will help you achieve better results:

Using Excessive Negative Prompts

Trying too hard to eliminate unwanted elements can make images look unnatural or cause generation failures. Particularly, including too many keywords can prevent the AI from understanding your intentions correctly, so it’s important to maintain appropriate balance.

Including Contradictory Keywords

For example, including “realistic” in positive prompts while including “photorealistic” in negative prompts can confuse the AI and produce unintended results. Be careful not to use words with the same meaning or similar concepts simultaneously.

Not Considering Model-Specific Characteristics

The effectiveness of negative prompts can vary depending on the version of Stable Diffusion and the model you’re using. For example, while “bad anatomy” can improve human body quality in general models, it may be unnecessary in models specialized for specific art styles. It’s important to adjust prompts according to the model’s characteristics.

Insufficient Testing

After setting negative prompts, always conduct tests to confirm whether you’re getting the expected results. Particularly when adding new keywords, it’s effective to apply them gradually while making adjustments.

Keep experimenting to find the optimal settings for your purpose.

Achieving Further Quality Improvement by Combining Negative Prompts with Extensions

To improve the quality of Stable Diffusion image generation, utilizing negative prompts is essential. However, relying on them alone can sometimes make it difficult to achieve completely intended results.

Therefore, by combining extensions and additional training models (such as Embeddings), you can further enhance precision. Here, we’ll explain the benefits of combining negative prompts with extensions and recommend useful extensions.

Benefits of Combining with Extensions (embeddings, etc.)

Stable Diffusion has various extensions that improve image generation precision. Combining them with negative prompts provides the following benefits:

More Detailed Control Becomes Possible

Fine elements that can’t be completely eliminated with negative prompts alone can be adjusted more precisely using extensions. For example, utilizing LoRA or Textual Inversion allows you to specify particular styles or features more strongly.

Can Supplement Model Training Data

Basic Stable Diffusion models (checkpoints) depend on training data, making it sometimes difficult to express specific styles or fine details. Using extensions allows you to reflect additional training data and achieve more intended results.

Specialized Adjustments for Specific Corrections

For example, using VAE (Variational Autoencoder) enables enhanced color vividness and detail enhancement. Additionally, combining with ControlNet allows you to specify image composition and poses precisely.

In this way, combining negative prompts with extensions can dramatically improve image quality.

Recommended Extensions and Their Usage Methods

The following extensions are particularly effective for enhancing Stable Diffusion image generation:

LoRA (Low-Rank Adaptation)

LoRA is an extension that allows fine adjustment of specific characters or art styles. Combined with negative prompts, you can expect the following effects:

• Unifying specific art styles: Consistent generation of styles like realistic, anime, illustration
• Improving human body balance: More natural human expression possible when combined with “bad anatomy” or “extra fingers”
• Excluding specific elements: Can exclude elements like “glasses,” “hat,” “tattoos”

Applying LoRA makes it easier to reproduce specific characters or designs.

Textual Inversion (Embedding)

Textual Inversion is a technology that allows additional training of new words to create unique prompt expressions.
It’s suitable for the following purposes to clarify specific styles or features:

• Eliminating unnatural depictions: More natural depiction possible when combined with “bad anatomy”
• Enhancing specific textures and materials: Reproducing realistic hair, fabric, metal textures
• Learning original designs: Can generate unique designs by learning specific brands or logos

ControlNet

ControlNet is a tool that allows detailed control of image generation composition by specifying sketches, poses, or depth information. It’s helpful in the following cases:

• Preventing pose collapse: Accurately reproducing intended poses when combined with “bad posture” or “wrong perspective”
• Background control: Appropriately controlling background elements when combined with “crowded” or “cluttered background”
• Accurately reproducing specific compositions: Can generate images with desired compositions based on photos or sketches

This is particularly useful when you want to accurately draw character poses or hand shapes.

VAE (Variational Autoencoder)

VAE is an auxiliary tool for adjusting image color tone, contrast, and fine details. Since default settings can sometimes cause colors to appear washed out or details to be lost, combining with the following negative prompts is effective:

• blurry, washed out: Preventing blur and color washing
• low contrast, low detail: Enhancing contrast and detail

When you want to generate high-quality images, it’s good to introduce high-performance VAE models.

Summary

Utilizing negative prompts in Stable Diffusion is an important element for improving image generation quality. By making appropriate settings, you can eliminate unwanted elements and create more ideal images.

Negative prompts can significantly improve Stable Diffusion output when set appropriately. Through trial and error, find the optimal prompts that work best for you.

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