GLM-Image vs Ovis-Image-7B vs FLUX.2 Dev Turbo: 5 Prompt Test - Wiro AI

GLM-Image vs Ovis-Image-7B vs FLUX.2 Dev Turbo: 5 Prompt Text-to-Image Test

GLM-Image vs Ovis-Image-7B vs FLUX.2 Dev Turbo face the same five prompts. This test focuses on text rendering, labels, and layout in images. The results show where each model performs best.

What this test covers

A consistent set of five prompts ran on each model. Each prompt targets a practical use case: posters, product photos, street signage, UI mockups, and handwritten menus. The same prompts let direct visual comparison.

Models tested

GLM-Image

GLM-Image generates images from text and supports image edits. The model uses a hybrid autoregressive plus diffusion decoder to improve complex layouts and text rendering. Model page: https://wiro.ai/models/zai-org/glm-image

Ovis-Image-7B

Ovis-Image-7B targets compact, high fidelity text rendering. The model fits smaller deployments while keeping high word accuracy for banners and UI. Model page: https://wiro.ai/models/aidc-ai/ovis-image-7b

FLUX.2 Dev Turbo

FLUX.2 Dev Turbo focuses on photoreal detail and asset consistency. The model runs fast and keeps product and character details stable across edits. Model page: https://wiro.ai/models/wiro/flux-2-dev-turbo

Test prompts

Prompt 1: Minimalist Swiss style poster for a bicycle repair shop. White background. Big headline text: NIGHT OWL BIKE CO. Smaller subhead text: 24 7 REPAIRS. Simple line art bicycle icon. Lots of whitespace. Crisp print layout.
Prompt 2: Photorealistic studio shot of a glass jar of honey with a paper label. Label text: ACACIA HONEY. Small line: NET 250G. Warm softbox lighting. Shallow depth of field. Clean beige background.
Prompt 3: Cinematic photo of a busy street food stall at dusk in Seoul. Wet pavement with rain reflections. Neon signage. Main sign text: TTEOKBOKKI. Smaller sign text: SPICY RICE CAKES. People in motion blur. High detail.
Prompt 4: Isometric UI mockup of a mobile app onboarding screen. Clean modern flat design. Pastel gradient background. Big title text: TRACK YOUR HABITS. Button text: GET STARTED. Minimal icons and charts. High readability.
Prompt 5: Realistic chalkboard cafe menu. Title text: MORNING MENU. Eight items with prices, all legible: ESPRESSO 3, LATTE 4, CAPPUCCINO 4, CROISSANT 3, BAGEL 2, GRANOLA 5, TEA 2, JUICE 4. Handwritten chalk style. Soft vignette lighting.

Results

Prompt 1 — Swiss poster

GLM-Image	Ovis-Image-7B	FLUX.2 Dev Turbo
Prompt: Minimalist Swiss style poster for a bicycle repair shop. White background. Big headline text: NIGHT OWL BIKE CO. Smaller subhead text: 24 7 REPAIRS.	Prompt: Minimalist Swiss style poster for a bicycle repair shop. White background. Big headline text: NIGHT OWL BIKE CO. Smaller subhead text: 24 7 REPAIRS.	Prompt: Minimalist Swiss style poster for a bicycle repair shop. White background. Big headline text: NIGHT OWL BIKE CO. Smaller subhead text: 24 7 REPAIRS.

Prompt 2 — Product photo

GLM-Image	Ovis-Image-7B	FLUX.2 Dev Turbo
Prompt: Photorealistic studio shot of a glass jar of honey with a paper label. Label text: ACACIA HONEY. NET 250G.	Prompt: Photorealistic studio shot of a glass jar of honey with a paper label. Label text: ACACIA HONEY. NET 250G.	Prompt: Photorealistic studio shot of a glass jar of honey with a paper label. Label text: ACACIA HONEY. NET 250G.

Prompt 3 — Street food signage

GLM-Image	Ovis-Image-7B	FLUX.2 Dev Turbo
Prompt: Cinematic photo of a busy street food stall at dusk in Seoul. Main sign text: TTEOKBOKKI. Smaller sign text: SPICY RICE CAKES.	Prompt: Cinematic photo of a busy street food stall at dusk in Seoul. Main sign text: TTEOKBOKKI. Smaller sign text: SPICY RICE CAKES.	Prompt: Cinematic photo of a busy street food stall at dusk in Seoul. Main sign text: TTEOKBOKKI. Smaller sign text: SPICY RICE CAKES.

Prompt 4 — UI mockup

GLM-Image	Ovis-Image-7B	FLUX.2 Dev Turbo
Prompt: Isometric UI mockup of a mobile app onboarding screen. Title text: TRACK YOUR HABITS. Button text: GET STARTED.	Prompt: Isometric UI mockup of a mobile app onboarding screen. Title text: TRACK YOUR HABITS. Button text: GET STARTED.	Prompt: Isometric UI mockup of a mobile app onboarding screen. Title text: TRACK YOUR HABITS. Button text: GET STARTED.

Prompt 5 — Chalkboard menu

GLM-Image	Ovis-Image-7B	FLUX.2 Dev Turbo
Prompt: Realistic chalkboard cafe menu with eight items and prices. Handwritten chalk style.	Prompt: Realistic chalkboard cafe menu with eight items and prices. Handwritten chalk style.	Prompt: Realistic chalkboard cafe menu with eight items and prices. Handwritten chalk style.

Quick comparison

Model	Approx runtime (1024×768)	Best for
GLM-Image	~60 s	Dense text and layout tasks, complex diagrams and posters
Ovis-Image-7B	~25 s	Fast bilingual text rendering for banners and UI
FLUX.2 Dev Turbo	~15 s	Photoreal product shots and asset consistency

Verdict

GLM-Image gives the best results on dense, information rich prompts. Ovis-Image-7B balances speed with very clean bilingual text rendering. FLUX.2 Dev Turbo runs fastest and produces the most photoreal images and consistent assets. Each model fits a clear use case. Try the models on Wiro at their model pages below.

Try the models: GLM-Image — Ovis-Image-7B — FLUX.2 Dev Turbo