free quota text to image

Generate images from text with a free-quota-first multi-provider workflow. Use this skill when a user asks for text-to-image generation that needs provider routing (Hugging Face, Gitee, ModelScope, A4F, OpenAI-compatible private endpoints), token pooling with automatic rotation on quota/auth failures, public API fallback for Hugging Face, prompt optimization, model fallback, batch generation in one command, and structured generation outputs.

Free Quota Image Skill

Overview

Use this skill to run a provider-agnostic text-to-image pipeline with free-quota-first routing, token rotation, and prompt enhancement.

Workflow

1. Load config from {baseDir}/assets/config.example.yaml or user-provided config.
2. Resolve provider order (--provider auto follows routing.provider_order).
3. Resolve model candidates per provider (requested -> z-image-turbo -> provider default).
4. Prepare prompt for each attempt:
   • optionally auto-translate for target models
   • optionally optimize prompt with provider text model
5. Execute generation request.
6. On quota/auth failures, rotate token; if exhausted, move to next provider.
7. Repeat the generation flow when --count > 1, and rotate provider/token start position per image to spread load.
8. Return stable JSON output fields or direct URL output.

Commands

Install dependencies:

bash

python -m pip install -r {baseDir}/scripts/requirements.txt

Run generation:

bash

python {baseDir}/scripts/run_text2img.py --prompt "cinematic rainy tokyo alley" --json

Run with explicit provider/model:

bash

python {baseDir}/scripts/run_text2img.py --prompt "a fox astronaut" --provider gitee --model flux-2 --json

Save image locally:

bash

python {baseDir}/scripts/run_text2img.py --prompt "retro sci-fi city" --output ./out.png

Generate multiple images in one run:

bash

python {baseDir}/scripts/run_text2img.py --prompt "anime passport portrait" --count 4 --json

CLI contract

Use {baseDir}/scripts/run_text2img.py with the fixed contract:

• --prompt (required)
• --provider (auto|huggingface|gitee|modelscope|a4f|openai_compatible, default auto)
• --model (default z-image-turbo)
• --aspect-ratio (default 1:1)
• --seed (optional int)
• --steps (optional int)
• --guidance-scale (optional float)
• --enable-hd (flag)
• --optimize-prompt / --no-optimize-prompt (default on)
• --auto-translate / --no-auto-translate (default off)
• --config (default {baseDir}/assets/config.example.yaml)
• --output (optional output file path)
• --count (number of images in one run, default 1)
• --json (structured output)

Output contract

When --json is used, output these fields on success:

• id
• url
• provider
• model
• prompt_original
• prompt_final
• seed
• steps
• guidance_scale
• aspect_ratio
• fallback_chain
• elapsed_ms

On failure, output structured error fields:

• error_type
• error
• fallback_chain

When --count > 1, JSON output contains:

• count
• images (array of standard success payloads)
• elapsed_ms

References

Read only what is needed:

• Provider API wiring: references/provider-endpoints.md
• Model coverage and fallback: references/model-matrix.md
• Token rotation and date rules: references/token-rotation-policy.md
• Prompt optimization pipeline: references/prompt-optimization-policy.md
• OpenClaw setup details: references/openclaw-integration.md

Scope boundaries

Keep this skill focused on text-to-image core only.

Do not add image editing, video generation, or cloud storage workflows in this skill.