July 2026 AI Image Generator Review: Midjourney V7 vs DALL-E 4 vs Jimeng vs Stable Diffusion

Category: AI Tool Review / AI Image Generation

Target readers: content creators, e-commerce operators, designers, AI tool enthusiasts, indie developers, and everyday users who want to create covers, posters, and product visuals with AI

Test date: July 8, 2026

Important note: This article uses the common user-facing phrase “DALL-E 4” because it appears in the topic. However, as of the test date, OpenAI has not officially named its current image generation product “DALL-E 4.” The more accurate name is ChatGPT Images 2.0 / OpenAI’s current image generation capability. In this article, “DALL-E 4” refers to that current OpenAI image generation experience.

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1. Bottom Line

If you ask which AI image generator is best in July 2026, there is no single universal winner.

One-sentence summary:

OpenAI’s image generation is the best visual production assistant, Midjourney V7 is the best aesthetic inspiration engine, Jimeng is the most convenient Chinese creator toolkit, and Stable Diffusion is the most customizable image engine.

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2. Two Naming and Version Corrections

2.1 Midjourney V7 is not the official default model in July 2026

Midjourney’s official documentation says V7 was released on April 3, 2025 and became the default version on June 17, 2025. But by July 2026, Midjourney’s official docs list V8.1 as the current default version. V8.1 was released on April 30, 2026 and became the default version on June 10, 2026.

So why still test V7?

Because many users still discuss V7 for its aesthetic style, Draft Mode, Omni Reference, and image-prompting behavior, and the requested topic explicitly says V7. This article compares V7 as requested, while reminding readers that if you are using Midjourney today, you should also evaluate V8.1.

2.2 “DALL-E 4” is not OpenAI’s official current product name

OpenAI still has an official DALL·E 3 page, and DALL·E 3 was made available in ChatGPT and through the API. But OpenAI’s newer image generation capabilities have moved toward product names such as ChatGPT Images, GPT-4o image generation, and ChatGPT Images 2.0. OpenAI’s DALL·E GPT is also marked as a legacy image generation model, with the latest image model accessible through the main ChatGPT experience.

So in this review:

DALL-E 4 = common user wording; accurate name = ChatGPT Images 2.0 / OpenAI’s current image generation capability.

This matters because writing “DALL-E 4” as an official OpenAI product would be misleading.

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3. Product Positioning

3.1 Midjourney V7: Strong for aesthetics and stylization

Midjourney V7’s advantage is aesthetics. Its images often feel atmospheric and art-directed. Midjourney’s official documentation says V7 improved text and image prompt handling, textures, details, bodies, hands, and objects, and introduced Draft Mode and Omni Reference.

Best for: concept art, poster inspiration, character design, illustration style exploration, photographic visuals, fantasy and sci-fi visuals, social media covers, and brand moodboards.

Not ideal for: accurate Chinese text, structured commercial posters, precise local edits, private local deployment, or fully controllable product and character training.

3.2 ChatGPT Images 2.0: A conversational design assistant

OpenAI’s current image generation is strongest in instruction following, text rendering, context understanding, local edits, and iterative refinement. OpenAI’s GPT-4o image generation release emphasized accurate text rendering, prompt following, chat context, and using uploaded images as references. ChatGPT Images 2.0 further emphasizes structured visual outputs, multilingual text, comic pages, posters, infographics, and product visuals.

Best for: blog covers, Xiaohongshu-style covers, infographics, posters, e-commerce visual drafts, course illustrations, product explanation images, text-heavy images, local edits, multi-turn revisions, and non-designers who need usable visuals quickly.

Not ideal for: extreme stylized aesthetic exploration, large-scale parameterized batch generation, fully local deployment, deep model fine-tuning, or open-weight workflows.

3.3 Jimeng AI: Most convenient for Chinese content creators

Jimeng’s official site positions it as an all-in-one AI creation platform. It supports text-to-image, text-to-video, image-to-video, smart canvas, multi-image AI fusion, local repainting, one-click outpainting, object removal, cutout, and multilayer editing. The Seedream 3.0 technical report describes it as a high-performance Chinese-English bilingual image generation foundation model with improvements in complex prompt alignment, fine-grained typography, visual aesthetics, fidelity, and native high-resolution output up to 2K.

Best for: Chinese posters, domestic social media covers, Douyin and Xiaohongshu visuals, e-commerce images, Chinese-style design, Chinese copy-based visuals, fast image editing, image-to-video preparation, and beginners who do not want complex prompting.

Not ideal for: global creator community workflows, deep open model training, local private deployment, advanced model customization, or international English-first creative communities.

3.4 Stable Diffusion: The most flexible, but also the hardest

Stable Diffusion’s core advantage is not that its default output is always the prettiest. Its advantage is control, openness, trainability, deployment, and integration. Stability AI lists Stable Diffusion 3.5 Large, Large Turbo, and Medium. Large is positioned as the most powerful model in the Stable Diffusion family, Turbo is designed for faster generation, and Medium is better suited to consumer hardware. Stability AI also says SD 3.5 models can run on consumer hardware and are free for many commercial and non-commercial uses under the Stability AI Community License.

Best for: technical users, artists training personal styles, e-commerce product consistency, LoRA training, ControlNet-based pose and composition control, ComfyUI workflows, local deployment, private projects, batch generation, and developers integrating image generation into apps.

Not ideal for: absolute beginners, users who want instant results, people who do not want to manage models, nodes, GPUs, or parameters, and users who expect closed-source-quality defaults without tuning.

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4. Testing Methodology

This review uses task-based evaluation instead of only asking which image “looks better.”

Prompt Examples

Chinese poster prompt

```text

Create a vertical 3:4 Chinese event poster for “2026 AI Creator Conference.”

Style: futuristic, blue-purple gradient, future city, clean and premium.

The poster must include a clear Chinese title:

2026 AI 创作者大会

Subtitle:

从灵感到商业化

Date:

7月28日 上海

The text must be accurate and the layout must be clear. The image should work as a Xiaohongshu cover.

```

Complex scene prompt

```text

Inside a futuristic café, three young creators are using laptops and AI image tools to discuss poster design.

On the table there is an iced latte, a tablet, and a poster draft that says “AI Art Lab.”

Outside the window is a rainy neon city at night.

The image should feel cinematic and photorealistic, with natural hands and accurate object count.

```

E-commerce product prompt

```text

Create an e-commerce hero image for a new coffee product called “Nebula Latte.”

In the center is an iced latte cup with the text “NEBULA LATTE” on the cup.

The background is a deep blue nebula with soft light. The image should feel premium, clean, and suitable for a product hero image.

Do not add extra text. Do not distort the cup.

```

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5. Scoring Criteria

Total score: 100 points.

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6. Overall Scores

Overall ranking

This does not mean Midjourney is weak. If aesthetics alone were the criterion, Midjourney V7 could still rank first.

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7. Task-by-Task Findings

Task 1: Realistic portrait

Verdict: For single-image aesthetics, Midjourney is strong. For controllable commercial portraits, OpenAI and SD are more dependable. For Chinese-style lifestyle and e-commerce visuals, Jimeng is convenient.

Task 2: Chinese poster

Verdict: For Chinese posters, choose OpenAI or Jimeng first. Use Midjourney for visual backgrounds. Use SD for technical workflows and compositing.

Task 3: E-commerce product image

Verdict: For one-off product images, use OpenAI or Jimeng. For inspiration, use Midjourney. For product consistency at scale, use SD.

Task 4: Complex scene

Verdict: For complex prompt adherence, OpenAI’s current image generation is the strongest. SD has a high ceiling but needs an engineered workflow.

Task 5: Character consistency

Verdict: For light character consistency, use OpenAI or Midjourney. For professional reusable character assets, use SD.

Task 6: Local editing

Verdict: For ordinary users, choose OpenAI or Jimeng. For professional controlled editing, choose SD.

Task 7: Cost and workflow

Verdict: For low-friction use, choose Jimeng or OpenAI. For aesthetic creation, choose Midjourney. For long-term technical control, choose SD.

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8. Pros and Cons

Midjourney V7

Pros: Strong aesthetics, strong atmosphere, excellent composition and lighting, great for inspiration, high-quality community works, V7 introduced Draft Mode and Omni Reference, good for image prompts and stylized visual exploration. Cons: Chinese text is not reliable for final delivery, precise edits and structural multi-turn control are weaker than OpenAI, no local deployment, private work requires higher subscription tiers, and in July 2026 V8.1 is already the default model.

ChatGPT Images 2.0 / OpenAI current image generation

Pros: Strong instruction following, strong text rendering, good multilingual posters and infographics, strong local editing experience, natural conversational refinement, good for non-designers creating usable assets quickly, and integrates well with ChatGPT’s writing, planning, and research workflows. Cons: “DALL-E 4” is not the official product name, extreme stylized aesthetics may be less striking than Midjourney, it is not suitable for deep model training or private deployment, and professional batch workflows are less flexible than SD.

Jimeng AI

Pros: Friendly for Chinese users, efficient for Chinese posters and short-video visuals, supports smart canvas, multi-image fusion, local repainting, outpainting, removal, and cutout, fits Douyin, Xiaohongshu, e-commerce, and Chinese marketing workflows, and Seedream 3.0 performs well in bilingual prompting, complex prompts, typography, and high-resolution generation. Cons: Weaker international creator ecosystem than Midjourney, deep model training and customization are weaker than SD, enterprise private deployment and cross-platform openness depend on specific service options, and global English-first community adoption is weaker than Midjourney/OpenAI.

Stable Diffusion 3.5 / SD workflow

Pros: Local deployment, LoRA training, ControlNet/IP-Adapter/ComfyUI workflows, product and character consistency, private and automated pipelines, large model and plugin ecosystem, and long-term cost control. Cons: Highest learning curve, requires GPU or cloud compute, installation and model management are complex, default one-click output may not beat closed tools, and direct Chinese text generation remains difficult.

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9. Recommendations by User Type

Everyday content creators

Choose: ChatGPT Images 2.0 + Jimeng

Why: Good for covers, title images, Chinese prompts, no parameter tuning, and easy revisions.

Xiaohongshu, Douyin, and video account operators

Choose: Jimeng + ChatGPT Images

Why: Better Chinese posters and short-video visuals, better fit for domestic platform aesthetics, and good for covers, live stream posters, and event visuals.

E-commerce operators

Choose: Jimeng + SD + OpenAI

Why: Jimeng is fast for domestic e-commerce visuals, OpenAI is good for labeled product visuals, and SD is strong for product consistency and batch scenes.

Designers and brand teams

Choose: Midjourney + OpenAI + SD

Why: Midjourney for inspiration and moodboards, OpenAI for structured posters and revisions, and SD for custom styles, reusable characters, or product consistency.

Programmers and technical users

Choose: Stable Diffusion 3.5 + ComfyUI

Why: Control, deployment, automation, model training, and app integration.

Students and beginners

Choose: Jimeng or ChatGPT Images

Why: Easy Chinese input, no complex prompting, and failed generations can be fixed through chat or canvas editing.

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10. Best Combination Workflows

Workflow A: Blog or CSDN cover

1. Use ChatGPT to write the cover title and visual description;

2. Generate a first draft with ChatGPT Images or Jimeng;

3. Use Jimeng or ChatGPT for local edits;

4. Add final text and branding in Canva;

5. Export in 16:9 or the required platform size.

Workflow B: Xiaohongshu cover

1. Generate background and subject with Jimeng;

2. Use ChatGPT to generate 10 title options;

3. Lay out the cover in Canva or CapCut;

4. Use ChatGPT Images for detail fixes;

5. A/B test title variations.

Workflow C: E-commerce product image

1. Shoot the real product;

2. Use SD to train or preserve product appearance;

3. Generate backgrounds with Jimeng/OpenAI;

4. Use local repainting to blend the product;

5. Finish typography and price information in Photoshop or Canva.

Workflow D: Character IP

1. Explore character style with Midjourney;

2. Use OpenAI to generate character descriptions and reference sheets;

3. Train a LoRA with SD;

4. Batch-generate expressions, poses, and scenes in ComfyUI;

5. Use OpenAI for comic pages and storyboard drafts.

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11. Common Mistakes

11.1 Treating Midjourney as a layout tool

Midjourney is great for visuals, but not for final Chinese text layout. Add final text later.

11.2 Writing “DALL-E 4” as an official product name

For accuracy, use:

```text

ChatGPT Images 2.0 / OpenAI current image generation

```

You can add:

```text

commonly called DALL-E 4 by users

```

11.3 Expecting Stable Diffusion to produce masterpiece images immediately

SD’s strength is control and customization, not zero-setup magic. You need models, workflows, prompts, post-processing, and hardware.

11.4 Using the wrong tool for Chinese posters

If the poster needs final Chinese text, prioritize ChatGPT Images or Jimeng, then verify text manually in Canva or Photoshop.

11.5 Ignoring commercial terms

Commercial projects should check each platform’s terms, output rights, privacy policies, and training-data rules.

11.6 Generating only one image

AI image generation is still stochastic. For important visuals, generate 4–8 options, select the best, edit locally, and finalize manually.

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12. Final Verdict

In July 2026, AI image tools are no longer judged only by whether they can make a pretty picture. The real question is whether they fit production workflows.

If you only care about aesthetics, Midjourney V7 is still very strong. It is excellent for inspiration, mood, photography-like visuals, art direction, and visual exploration.

If you care about usability, OpenAI’s current image generation is more dependable. It behaves like a visual assistant that understands instructions, renders text, edits images, and iterates with you.

If you are a Chinese content creator, Jimeng deserves a place in your toolkit. It fits Chinese prompts, domestic platform aesthetics, Chinese posters, and short-video workflows.

If you need long-term control, Stable Diffusion remains irreplaceable. It is not the easiest tool, but it is the most flexible, customizable, and suitable for technical production pipelines.

Final recommendation:

Beginners should use ChatGPT Images or Jimeng. Use Midjourney for creative inspiration, Jimeng for Chinese content, OpenAI for commercial editing and text-heavy visuals, and Stable Diffusion for long-term controlled or private workflows.

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13. SEO Information

SEO title: July 2026 AI Image Generator Review: Midjourney V7 vs DALL-E 4 vs Jimeng vs Stable Diffusion SEO description: This review compares Midjourney V7, OpenAI ChatGPT Images 2.0, Jimeng AI, and Stable Diffusion 3.5 across portraits, Chinese posters, e-commerce product images, complex scenes, character consistency, local editing, cost, and workflow fit. Keywords: AI image generator, Midjourney V7, DALL-E 4, ChatGPT Images 2.0, Jimeng AI, Seedream 3.0, Stable Diffusion, SD 3.5, AI poster, AI product image, AI art tools, AI image generator review

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14. Data Sources and References

1. Midjourney Version official documentation: V7 and V8.1 release timing, default version changes, V7 features, Draft Mode, and Omni Reference.

https://docs.midjourney.com/hc/en-us/articles/32199405667853-Version

2. Midjourney Draft & Conversational Modes documentation: V7 Draft Mode, V8.1 Draft Mode, and Conversational Mode.

https://docs.midjourney.com/hc/en-us/articles/35577175650957-Draft-Conversational-Modes

3. Midjourney Plans documentation: Basic, Standard, Pro, Mega pricing, GPU time, Relax Mode, Stealth Mode, and commercial terms.

https://docs.midjourney.com/hc/en-us/articles/27870484040333-Comparing-Midjourney-Plans

4. OpenAI DALL·E 3 official page: DALL·E 3 availability in ChatGPT and API and text-to-image capability.

https://openai.com/index/dall-e-3/

5. OpenAI GPT-4o Image Generation release: text rendering, prompt following, in-context learning, multi-turn generation, and image editing capabilities.

https://openai.com/index/introducing-4o-image-generation/

6. OpenAI ChatGPT Images 2.0 release: multilingual text, posters, comic pages, infographics, visual reasoning, and multi-format visual examples.

https://openai.com/index/introducing-chatgpt-images-2-0/

7. OpenAI Images in ChatGPT help article: ChatGPT Images 2.0 availability, image creation and editing, editor, aspect ratio changes, and image management.

https://help.openai.com/en/articles/11084440-images-in-chatgpt

8. Jimeng AI official website: text-to-image, text-to-video, image-to-video, smart canvas, multi-image fusion, local repainting, outpainting, removal, and cutout.

https://jimeng.jianying.com/

9. Seedream 3.0 Technical Report: bilingual image generation, complex prompt alignment, typography, up to 2K native output, and acceleration.

https://arxiv.org/abs/2504.11346

10. Stability AI Stable Image official page: Stable Diffusion Large and Turbo positioning and quality/speed claims.

https://stability.ai/stable-image

11. Stability AI Stable Diffusion 3.5 release: SD 3.5 Large, Large Turbo, Medium, consumer hardware, community license, and downloadable models.

https://stability.ai/news-updates/introducing-stable-diffusion-3-5

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Publish-ready Summary

By July 2026, AI image tools are no longer just about making beautiful images. Midjourney V7 remains strong for aesthetics and visual inspiration. OpenAI’s current image generation, often casually called “DALL-E 4,” is more accurately ChatGPT Images 2.0 and is strongest in instruction following, text rendering, local editing, and multi-turn design workflows. Jimeng AI is especially practical for Chinese creators, e-commerce visuals, posters, and short-video content. Stable Diffusion 3.5 remains unmatched for local deployment, LoRA, ControlNet, ComfyUI, and private custom workflows. Beginners should start with ChatGPT Images or Jimeng; designers should combine Midjourney and OpenAI; technical users should invest in Stable Diffusion.