Qwen-Image-Poster Title Font Design
UpdateOct 07, 2025 05:09PublishedOct 07, 2025 05:09
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Qwen-Image-Poster Title Font Design - 1
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User_xt6597
Type
LoRA
Basic Model
Qwen-Image
Published time
Oct 07, 2025 05:09
File Signature
bdfbf88e072f089aba3e66760508f53ffecc9c3f0671865b460086b8867d1ac9
Qwen-Image-海报标题字体设计.safetensors
225.19 MB

Prompt Example: Zuoyebang reading and creation activity promotional image, set against a solid black background. The core of the image features 3D stylized typography reading "学而思・名著创想", primarily in orange-red with a gold outline, making it eye-catching and prominent. Above the text is an open book with a "100" label sticker on it, alongside a blue pen, symbolizing learning and creation. The book is accented with pink flowers and green leaves around it to add vitality. Inside a yellow ribbon-shaped area above the book, the text reads "阅读拓思・写作提升", highlighting the activity's goal. At the very bottom is an orange ribbon background with white text reading "春季提升营|小高年级专场", clearly stating the activity timeframe (Spring) and target audience (Upper Elementary Students).

If you don't know how to write prompts, you can copy the prompts from my showcase/reviews section and send them to an AI tool, asking it to modify the prompt according to this format for the items you want!

Model Introduction: Capable of generating text effects in various styles, quickly creating visually impactful and uniquely styled title text. Suitable for a wide range of application scenarios, including posters, covers, promotional materials, social media visuals, and digital product interfaces.

  1. Online Generation Parameter Settings

When using the "Online Generation" feature, please refer to the following parameter configurations for settings:

Recommended Weight: 0.8-1.0

Recommended Sampler: Euler

Sampling Steps: 30

CFG scale: 3.5

Recommended Dimensions: 1024x1024 1152x768

Hires. Fix: R-ESRGAN 4x+ Anime6B, Steps 20, Denoising strength 0.3-0.5

Recommended Checkpoint: Qwen-Image_1.0 Recommended Weight: 1 CFG: 7

Upscaler Algorithm: R-ESRGAN_4x+ Anime6B

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