Real story: In early 2025, designer Ms. Li faced the task of generating 200 marketing images for an e‑commerce brand. She experimented with multiple AI image generators, and found that every tool required repeated prompt refinement: sometimes “hyper‑realistic product shot” yielded cartoon style, sometimes “cinematic lighting” returned flat rendering. In the end she realised that the decisive factor wasn’t just the generator, but prompt engineering — how precisely you describe scene, style, detail, composition and mood. She developed a workflow: draft prompt → generate draft → analyse deviation → refine prompt → re‑run until satisfactory.
Three major pain points:
- Prompt writing is hard: Many users don’t know how to craft language that precisely controls the generator, leading to large output deviations.
- Generator output varies widely: Even with the same prompt, different tools’ prompt‑understanding, style biases and model training differ significantly.
- Commercial/copyright risk: Generated images may carry restrictions in style, content or usage rights; misuse can bring legal or brand risk.
Practical solution:
To use AI image generators effectively in 2025 and control output quality, start by selecting two or three leading tools (e.g., DALL·E 3, Midjourney, CreateVision AI) for comparison. Then build a “prompt template library” including variables for scene, composition, lighting, style keywords, lens type. Generate a draft, then apply “deviation analysis” to evaluate how far output deviates from expectation and refine the prompt accordingly. Finally, for commercial use, always check the generator’s licensing terms, image copyright ownership and output resolution. This ensures you can quickly produce high‑quality visuals while avoiding efficiency losses or risks from “blind tool usage”.
Tool Evaluation Pros & Cons Table
| Tool Name | Pros | Cons | Suitable Use Cases |
|---|---|---|---|
| CreateVision AI | - Strong prompt enhancement mechanism, good for non‑expert prompt engineers - Supports multiple styles (realistic, illustration, 3D) - Low entry barrier | - Advanced customization and ultra‑large output size are relatively expensive - When style preferences are extreme, outputs may converge | Marketing visuals, rapid prototyping, multi‑style creative |
| DALL·E 3 | - Good recognition of embedded text, strong prompt understanding - Easy to use within mainstream platforms | - Free tier is limited - May struggle in extremely complex scene compositions | Brand visuals, social‑media graphics, product concept visuals |
| Midjourney | - Active community, rich style library - Good for abstract or artistic image creation | - Non‑intuitive interface (requires Discord) - Higher skill requirement, prompt must be quite refined | Illustrations, artistic creation, style experiments |
| Stable Diffusion / self‑hosted models | - Can self‑host, low cost, customizable - Extremely free in style and extension | - Requires technical setup and hardware support - Prompt engineering is more challenging | Team internal generation, large‑volume custom assets, model training or style fine‑tuning |
| Runway | - Easy to use, quick image generation - Integrated with multiple AI tools - Supports video generation | - Low-quality generation when settings are incorrect - Expensive subscription for full features | Video content creation, rapid video generation, short-form video creation |
| Artbreeder | - Powerful gene-editing feature, good for creative generation - Highly customizable - Simple and user-friendly interface | - Small output size - Limited style options | Artistic creation, character design, quick image mutation |
| Jasper Art | - Deep customization, supports brand and style generation - Quick image output | - Depends on cloud, no local generation - Free tier is limited | Advertising creation, brand content, commercial visual design |
| BigSleep | - Deep learning-based, natural output - Open source with customizability | - Complex setup, requires programming knowledge - Slow runtime |
2025年AI图像生成领域的三大趋势是什么？
- 专业创作平台（三巨头）：Midjourney、DALL-E 3 和 Stable Diffusion 是市场的绝对领导者。2. 通用便捷工具（生态化）：以微软 Bing Image Creator 和 Fotor 为代表，深度融入现有生态系统，主打易用性和一站式服务。3. 垂直领域工具（专业化）：针对特定行业需求进行深度优化，如 Leonardo.ai 专注于游戏资产，文心一格、即梦 AI 等深耕中文市场。
Midjourney的核心优势是什么？
Midjourney 的核心优势是视觉创作的艺术巅峰，拥有卓越的艺术风格和强大的参数调控能力。
DALL-E 3的突出特点是什么？
DALL-E 3 的突出特点是超强的提示词理解力，能够通过对话式创作降低门槛，实现高效率的创意转化，并且提供商业友好授权。