Dreem.ai

This article explains what a strong input photo looks like, what to avoid, and a quick check to run before you upload.

What does good input look like?

Dreem’s built-in generation flows usually do the heavy lifting. Just use short, specific prompts only when you need to steer the styling or fine-tune a result.

Best practices for prompting in Dreem

Before publishing any AI-generated output, a quick QA check helps ensure it’s accurate, on-brand, and ready for customer-facing use.

Why is QA required before publishing?

Dreem allows you to generate images in 1K, 2K, or 4K resolution, giving you flexibility to match your desired level of quality and use case.

How to Choose Your Image Resolution

Give your model a more styled, polished finish by improving facial details while keeping the rest of the image intact.

Improving model styling, makeup or facial polish in generated images

When a garment can be worn in multiple ways, giving Dreem clearer visual context up front helps it generate results that match your intended styling.

Best practices for garments with multiple styling options

When the output looks good but you need a different product color, this guide explains how to change only the color and keep everything else the same.

Best practices for color change requests

The Dreem Chat Agent lets you create product content by describing what you want in plain language. It detects your product angles, works with several images in one request, suggests…

Working with the Dreem Chat Agent V3

Tierney Morgan

Phuong Anh (Sofia)

Best practices for prompting and the QA process required before publishing.

Prompting & QA Best Practices

Create a custom design with text, images, and links

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Connect the tools your team already uses to bring data in.

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A quick lap of the product so you know where everything lives.

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This prototype demo is aware that you are reading “{title}”. It can point you back to the current article, but a production article-aware Fin contract is still follow-up work.

Prototype article-aware answer

Because you already asked about invitations, this prototype demo can add the follow-up: use the role selector before sending each invite to limit access to the teammate responsibilities.

Prototype role-limiting follow-up

This prototype demo suggests starting with your workspace profile, inviting the team members who need access, and then connecting the integrations you use.

Prototype getting-started answer

In this prototype demo, integrations are configured from workspace settings. Choose the integration, connect the account, and review the enabled permissions.

Prototype integrations answer

In this prototype demo, invite teammates from workspace settings, then choose the access each teammate needs before sending the invitation.

Prototype invite-team answer

This prototype demo does not have a scripted answer for that question yet. Try asking how to invite your team or open a source article. No production Fin API was called.

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