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Open Datasets
Midjourney Prompts
Text

Midjourney Prompts

Over 9 million text prompts from Midjourney, cleaned to train image or text generation models.

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Size

9 million text lines (JSON, prompts only)

Licence

Apache 2.0

Description

The dataset Midjourney Prompts brings together more than 9 million prompts used on the Midjourney platform. This textual data has been cleaned to facilitate their use in image or text generation projects. Each line represents a raw prompt, without annotation, but of great creative and stylistic richness.

What is this dataset for?

  • Train or refine models for generating images from text (e.g. distribution, GAN)
  • Analyze creative trends in the generation of prompts
  • Building tools to help create optimized prompts

Can it be enriched or improved?

Yes. The dataset can be enriched by adding metadata (style, theme, level of detail), or by categorizing the prompts. It can also be used as a basis for contrasted learning projects by combining prompts and generated visuals.

🔎 In summary

Criterion Evaluation
🧩 Ease of use⭐⭐⭐⭐✩ (Direct use possible for most cases)
🧼 Need for cleaning⭐⭐⭐⭐⭐ (Low – prompts already cleaned)
🏷️ Annotation richness⭐✩✩✩✩ (No annotation, only raw text)
📜 Commercial license✅ Yes (Apache 2.0)
👨‍💻 Beginner friendly⚠️ Yes, with supervision on usage
🔁 Fine-tuning ready✅ Excellent base for adapting an LLM or visual generator
🌍 Cultural diversity🎭 High diversity in prompt styles and subjects

🧠 Recommended for

  • Generative AI creators
  • Creative NLP researchers
  • Editorial assistant projects

🔧 Compatible tools

  • Stable Diffusion
  • Midjourney
  • GPT
  • LangChain
  • AutoGPT

💡 Tip

Filter by thematic keywords or length to generate targeted subsets of prompts.

Frequently Asked Questions

Does this dataset contain images associated with prompts?

No, it only contains the prompt texts, without the corresponding generated images.

Can it be used to train an image generation model?

Yes, it is one of its main uses, especially in combination with images that are so available in another corpus.

Is it relevant for text-based NLP tasks?

Yes, this corpus is useful for style analysis, creative generation, and automated suggestion of text queries.

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