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name: prompt-and-image-conditioning description: "Route HunyuanImage-3.0 system prompts, recaption and think modes, DeepSeek rewrite, text rendering, image size, and multi-image conditioning decisions." metadata: disco-role: operating disable-model-invocation: true license: NOASSERTION

Prompt and Image Conditioning

Use this sub-skill when a task is about how to phrase prompts or how to choose use_system_prompt, bot_task, --rewrite, image, image_size, or infer_align_image_size for HunyuanImage-3.0 generation.

Do not use this sub-skill for raw model architecture, tokenizer template internals, checkpoint loading internals, full local command walkthroughs, Gradio launch, or vLLM deployment. For those, route to sibling skills:

• CLI command construction and demo variants: local inference CLI.
• Public API objects, tokenizer/template internals, and image processor internals: core APIs and architecture.

Operating route

1. Read prompt modes to choose the prompt path:
   • manual prompt writing,
   • model self-rewrite with recaption or think_recaption,
   • external DeepSeek PE rewrite,
   • direct multi-image conditioning.
2. Read troubleshooting before diagnosing failures, especially for credentials, network, dynamic mode, image lists, text rendering, or the known args.sys_deepseek_prompt rewrite typo.
3. Optionally run prompt-mode validator to check a proposed mode combination without loading model weights or calling any network service.

Fast recommendations

• For HunyuanImage-3.0-Instruct or Instruct-Distil image editing, multi-image fusion, or sparse prompts: prefer use_system_prompt="en_unified" with bot_task="think_recaption". Pass conditional images as an ordered list in the API or comma-separated paths in the CLI.
• For direct text-to-image with an already detailed prompt: use bot_task="image"; use image_size="auto" when the model should infer a ratio, or a fixed HxW / W:H value when composition must be constrained.
• For the base pretrain checkpoint: do not assume local model self-rewrite. Write a rich manual prompt, or use the DeepSeek PE rewrite path only when Tencent credentials and network access are intentionally available.
• For UI, poster, logo, or text rendering: every visible text string must be explicit and enclosed in double quotes; preserve the language and spelling of user-specified text.
• Avoid use_system_prompt="dynamic" with the local CLI's bot_task="think_recaption": the source resolver maps dynamic mode for think, recaption, and image, but not for think_recaption.

Safety constraints

• This sub-skill does not call DeepSeek, Tencent Cloud, model checkpoints, or repo launch scripts.
• Treat PE/deepseek.py as reference-only because it is credential and network bound.
• Treat PE/system_prompt.py as distilled guidance, not as a runnable dependency for the generated skill.
• Keep future guidance self-contained; do not require the original repository checkout to remain available.