What is important to understand
The main idea of this section: choose an image generation model based on style, quality, speed and the task. It answers a practical user question and shows which limitations to consider in advance.
Documentation
Image AI models
Image AI models is a practical Keter Labs guide on how to choose an image generation model based on style, quality, speed and the task. The section helps you quickly understand the preparation, limitations, order of steps and criteria for a finished result without a long search across different pages.
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What's included
What this section gives you.
The core task without extra searching
This page explains how to choose an image generation model based on style, quality, speed and the task. You get working context rather than a general overview: where to start, what to check and when to move on to the next step.
Preparation before you act
Before you start, prepare a description of the result, references, brand constraints, the required quality, credit budget and deadlines. This reduces the number of random iterations and helps the team agree on the expected result in advance.
Checks before moving on
After completing a step, check the model's fit for the task, detail stability, rights, the cost of iterations and further editing. Once these points are covered, the material, setting or process can be safely handed over.
When to use it
Common jobs this section is built for.
These examples make it easier to choose where to start and which nearby section to open next.
You need to understand a feature quickly
Open this section when you need to choose an image generation model based on style, quality, speed and the task but do not want to spend time searching for similar answers in different parts of the help center.
The team follows a single process
This material is easy to share with colleagues: it records the preparation, expected result, checks and neighboring sections needed for a complete workflow.
Before publishing or handoff
Use this page as a checklist: the model's fit for the task, detail stability, rights, the cost of iterations and further editing should be clear before the task goes to a client, the team or production.
Details
What to know before you use it.
How to apply it in your work
Start with the goal and input materials, then complete the steps in the interface and save decisions in the project. For this topic, a description of the result, references, brand constraints, the required quality, credit budget and deadlines are especially important.
Where to go next
If your task is broader than one section, move on to the related topics: image generator, image modes, model pages and pricing. This way you keep the context and assemble a complete workflow faster.
Workflow
How it works inside Keter Labs.
Every section in Keter Labs follows the same shape: a clear brief, a fast first draft, refinement in the editor, and a result saved into the project.
1
Step 1
Define the specific task: choose an image generation model based on style, quality, speed and the task. Record who is responsible for the result and where it will be used.
2
Step 2
Prepare a description of the result, references, brand constraints, the required quality, credit budget and deadlines. For team work, check roles, access and where materials are stored right away.
3
Step 3
Complete the action in Keter Labs and save important parameters, versions, files, prompts or links inside the project.
4
Step 4
Before finishing, check the model's fit for the task, detail stability, rights, the cost of iterations and further editing; then move on to the related topics: image generator, image modes, model pages and pricing.
Related sections
Where to go next.
Help center
Keter Labs help center
The "Keter Labs help center" section collects practical guidance on the topic: find the right instructions on tools, plans, permissions, credits, the API and teamwork. The section helps you prepare materials, complete the steps in Keter Labs, check the limits and bring the result to a working state.
Open
Documentation
Quickstart
The "Quickstart" section brings together practical guidance on a single topic: how to get started in Keter Labs: create a project, choose a tool, add references and save your first result. It helps you prepare materials, complete the steps in Keter Labs, check the limitations and bring the result to a working state.
Open
Documentation
Projects
The "Projects" section brings together practical guidance on a single topic: how to organize files, versions, assets and results inside Keter Labs projects. It helps you prepare materials, complete the steps in Keter Labs, check the limitations and bring the result to a working state.
Open
Documentation
Troubleshooting
The "Troubleshooting" section gathers practical guidance on one topic: quickly diagnose errors with generation, access, files, payments, exports, and result quality. It helps you prepare materials, complete the steps in Keter Labs, check the limitations, and bring the result to a working state.
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