prompts.

"Make her wear a vintage 1950s dress in a Parisian café" "Change the background to a tropical beach at sunset" "Add a golden retriever sitting next to the person" "Transform this into a watercolor painting style"

Transform this portrait into a Renaissance painting style

👩‍🎤 [Realistic Portrait (写实人像)](https://okqiyi.com/?s=portrait)

🎨 [Anime & Illustration (动漫插画)](https://okqiyi.com/?s=anime)

(Turnitin friendly). > **目标:** 专治论文 AI 味过重，优化语流，降低查重率，让文章读起来像真人写的。 > > 🔗 **[Get Instruction / 获取指令](https://okqiyi.com/academic-text-humanizer/)** **3. Personal Talent Excavator & Career Guide | 深度天赋挖掘与生涯规划** 🔥 > **Task:** Analyze personality traits to discover hidden talents and generate professional career paths based on psychology. > **目标:** 免费体验由 Nanobanana Pro 驱动的深度天赋挖掘，基于心理学为您生成专属职业规划报告。 > > 🔗 **[Get Instruction / 获取指令](https://okqiyi.com/personal-talent-excavator-career-guide/)** **4. Zodiac Love Analyst | 星座恋爱配对专家** > **Task:** Analyze compatibility (e.g., Gemini Female & Aquarius Male) and generate

# Node.js node scripts/generate-image.js "A futuristic city with purple neon lights" output.png # Python python scripts/generate-image.py "A futuristic city with purple neon lights" output.png

**Distance = 0**: Pixel is exactly the background color

The best weights are saved automatically as `nanomango_best.pth`.

A browser tab will open at `http://localhost:8501`.

The app will display the prediction and confidence score in real-time.

**No `input_fidelity` flag.** The OpenAI documentation is internally inconsistent on this parameter:

`. The OpenAI API rejects the request. Earlier GPT Image models (`gpt-image-1`, `gpt-image-1.5`) did support it, but this skill targets `gpt-image-2` exclusively, so the flag isn't exposed. If you need alpha transparency, run a downstream background-removal step on the opaque PNG output. - **No `input_fidelity` flag.** The OpenAI documentation is internally inconsistent on this parameter: - The **formal API reference** states: *

Create a museum-style educational infographic about Jingdezhen blue-and-white porcelain, with process steps, historical context, decorative motifs, labeled illustrations, and elegant editorial layout

Generate a museum-level Chinese disassembly infographic explaining the structure, materials, meanings, and dressing order of Ming dynasty Hanfu, with annotated garment parts and refined editorial composition

1. Copy unity/ folder contents to: Assets/Trellis2/ 2. Open Tools > TRELLIS.2 > Generation Window 3. Enter prompt or assign image → Click Generate 4. Model auto-imports to Assets/Trellis2Results/

trellis2-unity-studio/unity/ → YourProject/Assets/Trellis2/

Create a token: https://huggingface.co/settings/tokens

[FLUX.2-klein-4B](https://huggingface.co/black-forest-labs/FLUX.2-klein-4B) — Text-to-image generation

>TRELLIS.2 Unity Studio</h1> <p align=

Use character descriptions and reference images to maintain consistent characters across all scenes:

Keep scene descriptions focused on actions/settings rather than re-describing the character

Final video has both native audio (100% volume) and background music (musicVolume % volume)

Create a city skyline at sunset with flying cars and neon signs.

# 图生视频（单图） dreamina image2video \ --image ./character.jpg \ --prompt "人物缓慢转身微笑，微风吹动头发，慢速推进镜头，金色黄昏光，电影级调色，避免抖动，避免变形" \ --model_version seedance2.0 \ --duration 8 \ --poll 60 # 多模态（角色图 + 场景图 + 配乐） dreamina multimodal2video \ --image ./character.jpg \ --image ./scene.jpg \ --audio ./bgm.mp3 \ --prompt "人物缓慢走向远处，镜头平稳跟随，场景色调与背景图一致，避免抖动" \ --model_version seedance2.0 \ --duration 10 \ --ratio 16:9 \ --poll 60