Image generation

An AI Image Generator That Already Knows What You Are Making

Context beats prompt engineering.

Standalone image tools start every request from an empty box, which is why people end up learning prompt syntax instead of making images. Generating inside a conversation removes that whole problem: the model has already read your brief, your draft and your last three attempts, so "same style, but landscape and less cluttered" is a complete instruction.

Why in-thread generation produces better images

The model writes the prompt from context you already gave it — audience, tone, campaign, article.
Iteration is conversational. You describe the change instead of rewriting a 60-word prompt.
You can ask for the prompt itself, refine it in words, then generate.
The image and the copy it accompanies come out of the same thread, so they actually match.
Results stay in your history, bookmarkable and searchable, rather than in a separate tool's gallery.

What it is genuinely good for

Blog headers, social creative and newsletter art
Concept boards and moodboards early in a design process
Product mock-ups and packaging concepts for internal discussion
Illustrations for slides and internal documents
Storyboards and scene exploration
Personal art, avatars and experiments

Writing a prompt that works

Name the subject, the setting and the action in that order.
Specify the style concretely — "1970s film photography, 35mm grain" rather than "artistic".
Describe the light. It does more for realism than any other single word.
State the framing and aspect: close-up, wide shot, portrait, landscape.
Say what you do not want. Negative constraints are underused and very effective.
Generate several, then refine the closest one. Do not try to nail it in one shot.

Honest limitations

Text inside images is still unreliable. Add real typography afterwards.
Hands and complex anatomy remain the classic failure case.
Exact brand colours and precise logo reproduction are not what these models do — treat output as concept, not final asset.
Consistency of a specific character across many images is hard without extra tooling.
Do not generate images of real people for anything that could mislead, and check the licence terms before commercial use.

Models you can use for this

MiMo-V2-Flash256K

DeepSeek-V3.2 (Reasoning)128K

DeepSeek-V3.2128K

Qwen3-Max256K

Qwen3.5-Plus1M

Command A Reasoning256K

Command A256K

MiniMax M2197K

See all 8+ models and specs

Frequently asked questions

Is there a free AI image generator on Clade?

The free tier includes 30 credits a month, which covers a small number of generations. Paid plans from $9.99/month include a much larger allowance alongside all 50+ chat models.

Which image models does Clade use?

DALL·E and FLUX, generated directly inside your conversation rather than in a separate tool.

Can I use the images commercially?

That depends on the underlying model provider's terms, which change from time to time. Check the current terms for the specific model before commercial use, and avoid generating recognisable real people or trademarked material.

Can I edit an image after generating it?

You can iterate conversationally — ask for a different composition, palette, framing or style and generate again with the previous attempt as context.

Why does the text in my image look wrong?

Rendering legible text is a known weakness across image models. Generate the image without text and add typography in a design tool afterwards.

Keep reading

Generate the image where you wrote the brief

DALL·E and FLUX inside your conversation. Free tier, no card required.