AI Image Generation Complete Guide: From Zero to Mastering Text-to-Image

Β·4 min readΒ·397 views
AI Image Generation Complete Guide: From Zero to Mastering Text-to-Image

Want to generate stunning images with AI but don't know where to start? This guide walks you through AI text-to-image generation from scratch - from prompts to parameters.


What is AI Text-to-Image

AI text-to-image is a technology that generates images from text descriptions. Unlike traditional graphic design tools, it requires no artistic skills and produces professional-quality results in seconds.

Popular models include Midjourney, DALL-E 3, FLUX, and Stable Diffusion. Ciyuano's API provides unified access to multiple models through a single interface.

Where to Use AI Image Generation

  • Social media: Quick covers for blogs, Instagram, TikTok
  • Product design: Visual references before prototyping
  • Marketing: Posters, banners, ad creatives at scale
  • Personal creation: Avatars, wallpapers, illustrations, stickers
  • Story illustrations: Book covers, children's books, indie games

Step 1: Open the Tool

  1. Visit www.ciyuano.com
  2. Navigate to AI Image / Text-to-Image section
  3. Select model: FLUX for realism, Midjourney for art, SDXL for speed
  4. Enter editor: You'll see a prompt box, parameter panel, and generate button

Step 2: Write a Good Prompt

The prompt is the heart of AI image generation. A good prompt = a great image.

AI image prompt template

Four Core Elements

ElementDescriptionExample
SubjectWhat's in the image, who is the focusA panda in a spacesuit
StyleArtistic genre and aestheticCyberpunk illustration
CompositionLayout, camera angle, perspectiveClose-up, side view
ParametersRatio, lighting, detail level16:9, neon glow, rich detail

Prompt Writing Tips

  • Both Chinese and English work; English tends to support more detail
  • Specific beats vague: "a cat" vs. "an orange tabby cat on a windowsill watching the sunset"
  • Add mood: "warm afternoon" or "quiet night" shape the tone
  • Comma-separated keywords work well in most models
  • Negative prompts exclude unwanted elements like blur, low-res, watermarks

Step 3: Set Parameters

AI image generation parameters

1. Aspect Ratio

RatioUse Case
16:9 LandscapeWeb banners, video covers, desktop wallpapers
4:3 StandardBlog images, document illustrations
1:1 SquareSocial avatars, Instagram posts
9:16 PortraitPhone wallpapers, TikTok, Xiaohongshu

2. Quality Tier

Most platforms offer SD (Standard) and HD (High Definition). SD is fast and free/low-cost - use it for quick testing. HD delivers higher detail and resolution - use it for final output.

3. Model Selection

FLUX for realistic portraits, Midjourney for cyberpunk/fantasy, SDXL for speed and budget. Beginners should start with SDXL before upgrading to premium models.


Step 4: Generate and Refine

Click "Generate" and wait 5-10 seconds. Most platforms produce 4 images in one batch.

  1. First generation: Use a short prompt to validate direction
  2. Pick the best: Choose from the 4 results
  3. Add details: Refine the prompt with more specifics
  4. Use variations: Generate similar images or upscale
  5. Final HD: Switch to HD mode for the final output

Advanced Features

FeatureUse Case
Reference ImageUpload a photo to mimic composition and style
InpaintingMask specific regions for targeted edits
Upscale4x enlargement without blur
Batch GenerationMultiple prompts in one go
Style TemplatesOne-click style presets

Batch Generation via API

For large-scale image needs, use Ciyuano's OpenAI-compatible API:

curl -X POST https://www.ciyuano.com/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "dall-e-3",
    "prompt": "A panda in a spacesuit drinking tea on the Moon, cyberpunk style",
    "n": 1,
    "size": "1792x1024"
  }'

Supported models: dall-e-3, flux-realistic, midjourney-v6. Unified API, transparent pricing.


Summary

  1. Start with the subject, then add style, composition, mood
  2. Use SD tier first to test, then HD for final output
  3. Generate 4 images at a time and pick the best
  4. Use negative prompts to exclude blur, artifacts, and extra elements
  5. Use reference images for style and composition guidance
  6. Use API for batch generation instead of manual clicks

It usually takes 3-5 iterations to reach a satisfactory result. Don't expect perfection on the first try.

Comments are not yet available, stay tuned