AI visual production practice
AI image generation has become widely known as a tool that allows you to easily create images.。
However, in the actual production site、AI visualDon't just fill in the prompts。
prompt design、Image selection、quality control etc.、The visual is completed after several steps.。
In other words, AI image generation、Like photography and design production.Work to manage the production processexists。
In this article、Organize the practical process of AI visual production。
Basic process of AI visual production
Visual production using AI image generation、Proceed through the following steps。
- Organizing the purpose of production
- prompt design
- image generation
- Image selection
- quality adjustment
- final finishing
This flow is、It is similar to the process of creating advertisements and visuals.。
Organizing the purpose of production
In AI visual production、firstProduction purposeneed to be made clear。
For example
- advertising visual
- SNS content
- EC image cut
- concept visual
by purpose、The required visual direction changes。
If you start AI generation without this being ambiguous,、A large amount of images that do not match the image will be generated.。
prompt design
In AI image generation、Prompt design is an important process。
What is a prompt?、This is the text that instructs the AI about the visual content.。
For example, specify information such as:。
- subject
- composition
- direction of light
- camera angle
- atmosphere
If the prompt is vague、AI may generate images that are different from what you intended.。
Therefore, at the production site、Tasks of designing promptsbecomes important。
image generation
When you type the prompt、AI generates the image。
However, in AI generation、1It is unlikely that a completed image will appear after multiple generations.。
In actual production
- multiple generation
- Parameter adjustment
- Prompt fix
while repeating、Let's create a visual。
Image selection
In AI image generation、Many images are generated at once。
Therefore, it is importantImage selectionです。
For example, select images based on the following criteria:。
- Good composition
- naturalness of expression
- Compatibility with the brand
In AI generation、People need to decide which images to use in the end。
Quality management
AI images have、Some problems may occur。
For example
- unnatural hands and fingers
- distorted structure
- unnatural shadow
Check these issues、You will need to select images that can be used.。
At the production site、quality checkis an important process。
final finishing
AI generated images、It is not guaranteed that it will be used as is.。
eventually
- image retouching
- synthesis
- color adjustment
Work such as this may be carried out。
AI images too、Same as normal visual productionFinishing processis required。
Points of AI visual production
In AI image generation、In addition to operating toolsProduction process designbecomes important。
The following points are particularly important:。
- Organizing the purpose of production
- prompt design
- Image selection
- Quality management
Although AI can generate images、Humans decide which images to use。
summary
Visual production using AI image generation、It's not just about creating images.。
In actual production
- Organizing the purpose of production
- prompt design
- image generation
- Image selection
- Quality management
- final finishing
The visual is completed through these steps.。
Visual production in the AI era、In addition to operating toolsAbility to manage the production processbecomes important。
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▶︎ [Risks of AI visual production | Copyright, brand, and misinformation issues]
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▶︎ [Practical theory of prompt design in portrait generation AI]
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