Recently I started experimenting with ERNIE Image for posters, cinematic thumbnails, and AI-generated design layouts.
One thing that immediately stood out was the text rendering quality. Most image models still struggle with readable typography inside images, but ERNIE Image seems much better at handling structured layouts and bilingual prompts.
What I Tested
I tried generating:
movie-style posters
YouTube thumbnails
cyberpunk city scenes
manga/comic layouts
social graphics with embedded text
The strongest outputs came from prompts with:
clear composition instructions
lighting direction
typography placement
cinematic camera descriptions
Instead of writing:
“futuristic poster”
I used prompts like:
cinematic sci-fi movie poster, neon blue lighting, detailed city background, bold readable title text, dramatic composition, high contrast, realistic reflections
The results felt much more production-ready.
What Helped Most
A few things improved the outputs consistently:
shorter structured prompts
explicit layout instructions
camera angle references
readable text requests
separating subject and background descriptions
ERNIE Image also seems especially strong for poster-style visuals and design-heavy generations compared to many standard diffusion models.
Final Thoughts
Still testing different workflows, but ERNIE Image feels surprisingly good for creators working on AI posters, storyboards, thumbnails, and cinematic visual concepts.
Curious whether other people are using cinematic prompts or layout-focused prompts for AI image generation lately.
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