القائمة
Use this skill when working with the lightflow.flux_text_to_image workflow, syncing FLUX models, or generating images from prompts.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use this skill when working with the lightflow.flux_image_edit workflow, prompt-guided image editing, or FLUX image-edit model sync.
Use this skill when working with the lightflow.flux_inpaint workflow, masks, local repainting, or FLUX inpaint model sync.
Use this skill when working with the lightflow.flux_preview_text_to_image deterministic preview workflow or testing FLUX pipelines without a model backend.
Use this skill when working with the lightflow.flux_text_to_image_router workflow or routing image generation between real FLUX and preview runtimes.
| name | LightFlow FLUX Text To Image |
| description | Use this skill when working with the lightflow.flux_text_to_image workflow, syncing FLUX models, or generating images from prompts. |
| version | 0.1.0 |
Use lightflow.flux_text_to_image to generate images from text prompts through the LightFlow FLUX runtime.
lightflow.flux_text_to_imageprompt, negative, width, height, seed, count, steps, guidance, output_path, output_template, model.image, image_path, images, image_paths.lightflow.image.generate.flux_model, llm_model, and vae_model.image artifacts; model is bound to flux_model; width, height, count, steps, and guidance include editor ranges.Run lfw sync lightflow.flux_text_to_image --auto-model --apply before a real generation run. The preferred runtime is LightFlow built with --features flux-native. Native text-to-image keeps a loaded FLUX/Qwen/VAE session in the LightFlow process, reuses it for later images with the same locked model paths, and sends count > 1 requests as one native batch call.
For ComfyUI-style residency across requests, use a long-lived LightFlow process such as lfw serve; one-shot lfw run commands release the native session when the process exits.
This project also includes a stable-diffusion.cpp adapter for builds without flux-native. Configure it only when using the external fallback:
export LIGHTFLOW_SD_CLI=/path/to/stable-diffusion.cpp/build/bin/sd-cli
export LIGHTFLOW_FLUX_RUNNER="$PWD/scripts/sd-cli-flux-runner"
The adapter validates sd-cli, model files, and source assets before loading models. The external fallback is process-per-call; use native execution for performance work.
lfw sync lightflow.flux_text_to_image --auto-model --apply
lfw run lightflow.flux_text_to_image \
-i prompt='"a quiet lake at sunrise"' \
-i width=768 \
-i height=768 \
-i output_path='"out/lake.png"'
Fast real-backend smoke test:
cargo run --manifest-path ../LightFlow/Cargo.toml --features flux-native --bin lfw -- \
run lightflow.flux_text_to_image \
-i prompt='"real FLUX smoke test, small red cube"' \
-i width=128 \
-i height=96 \
-i seed=11 \
-i steps=1 \
-i guidance=1.0 \
-i output_path='"/tmp/lightflow-flux-test/runner-real.png"'
lfw node test lightflow.flux_text_to_image
Start lfw serve, then call the workflow through the shared HTTP run contract. Adjust inputs to match the workflow contract above.
curl -sS -X POST http://127.0.0.1:5174/workflows/lightflow.flux_text_to_image/run \
-H 'content-type: application/json' \
-d '{"inputs":{}}'