How do I use the Japanese News Broadcast Mockup template?
Choose the primary action to open PicX Studio with the available template settings. Review the model and format, personalize the creative direction, and generate when ready.
imageFree
Japanese News Broadcast Mockup
Generates a photorealistic television news broadcast scene with customizable headlines, ticker text, and anchor appearance. (free to use) — Free AI image template on PicX Studio.
Sample Prompt
A photorealistic television news broadcast scene featuring a {argument name="anchor appearance" default="young Japanese female with shoulder-length dark hair wearing a light beige blouse"} and a small black lapel microphone, sitting at a news desk and speaking directly to the camera. The studio background is modern with blue and white lighting and a blurred nighttime city skyline on the right. In the top left corner, there is a dark blue graphic with the white text "{argument name="channel logo text" default="NEWS TODAY"}". To the anchor's left is a large presentation monitor displaying a news graphic with a white background and light blue network nodes. The monitor features a dark blue "最新情報" tag, the text "{argument name="subheadline" default="OpenAIの新しい画像生成モデル"}", a large prominent headline "{argument name="main headline" default="「GPT-image-2」"}", the text "がリリース", an OpenAI logo, and a dark blue bottom banner reading "より高精細に より正確に 画像生成の可能性がさらに広がる". Across the bottom of the entire screen is a news ticker lower third with a dark blue "速報" box and the scrolling text "{argument name="ticker text" default="OpenAI 画期的な新画像生成モデル「GPT-image-2」をリリース"}".
Reference assets included
Japanese News Broadcast Mockup needs input media to work. Open it in the studio and these load alongside the prompt — pick whichever ones your chosen model can take.
1 reference image
A practical guide to Japanese News Broadcast Mockup
Use Japanese News Broadcast Mockup to plan an AI image around gpt-image-2 generation, themes such as en and gpt-image-2. Match the preview's composition first, then personalize the subject, setting, and mood for your own project.
- Model direction: start with gpt-image-2, the model this template was tuned for, before comparing another model.
- Composition: choose an aspect ratio for the final placement before you generate the image.
