cloudflare-workers-ai-images（cloudflare Workers ai 图像）

Cloudflare Workers AI Image

Use this skill for two related image workflows backed by Cloudflare Workers AI:

• text2img → create a new image from a prompt
• img2img → transform an existing source image with a prompt

Use the bundled script:

python3 scripts/cf_workers_ai_image.py <mode> "<prompt>" [options]

The script reads credentials from environment variables so the skill works cleanly in Docker-based OpenClaw deployments.

Trigger guidance

Use this skill when the user wants any of the following through Cloudflare Workers AI:

• generate a brand-new image from text
• make a picture, illustration, concept art, poster, wallpaper, avatar, or cover image
• transform an existing image into another style or composition
• keep the original image as a base but restyle or modify it globally
• perform text2img or img2img with Stable Diffusion-family models on Cloudflare

Strong trigger phrases include:

• "用 Cloudflare Workers AI 生成图片"
• "用 Workers AI 做文生图"
• "用 SDXL 生成一张图"
• "把这张图改成水彩风"
• "基于这张图重绘"
• "用 img2img 改图"
• "用 Workers AI 改这张图片风格"

Mode selection guidance:

• Choose text2img when there is no source image and the user wants a new image from a prompt.
• Choose img2img when there is a source image and the user wants a global transformation, style transfer, or composition-preserving edit.

If the user asks for a local area edit, object replacement, or mask-based redraw, this skill does not cover that workflow anymore.

Required environment variables

Read references/docker-compose-env-example.md when the user asks how to pass credentials through Docker Compose.

Required variables:

• CF_ACCOUNT_ID
• CF_API_TOKEN

If either variable is missing, the script exits with a clear error.

Default models

The script defaults to these Workers AI model identifiers:

• text2img → @cf/stabilityai/stable-diffusion-xl-base-1.0
• img2img → @cf/runwayml/stable-diffusion-v1-5-img2img

Override any default with --model if Cloudflare changes naming or the user wants another compatible Workers AI model.

Commands

1) Text to image

python3 scripts/cf_workers_ai_image.py text2img "a cozy cabin in snowy mountains, cinematic lighting" --output /tmp/openclaw/

Optional knobs:

python3 scripts/cf_workers_ai_image.py text2img "a cozy cabin in snowy mountains, cinematic lighting" \
  --negative-prompt "blurry, low quality, distorted" \
  --num-steps 30 \
  --guidance 7.5 \
  --width 1024 \
  --height 1024 \
  --seed 42 \
  --output /tmp/openclaw/

2) Image to image

python3 scripts/cf_workers_ai_image.py img2img "turn this into a watercolor illustration" \
  --image ./input/source.png \
  --strength 0.65 \
  --output /tmp/openclaw/

The bundled script sends the source image as a base64 field (image_b64) for Workers AI compatibility.

Chat workflow

When you ask to generate or process an image:

1. Determine the mode (text2img or img2img) and convert your request into a prompt.
2. Run scripts/cf_workers_ai_image.py with the --output /tmp/openclaw/ argument.
3. The script saves the image to the specified temporary directory and prints the full path to stdout.
4. Send the image back through the current conversation provider's required image/file-send format.
5. After successful delivery, delete the temporary image file unless the user explicitly asked to keep it.

Provider-specific delivery rule

This skill only generates and saves image files. It does not define a universal send format.

When returning a generated or edited image in chat, always follow the current session provider's required outbound media format. Different providers may require different delivery methods, wrappers, or tools. Do not assume that reading a local image path, echoing a file path, or relying on one provider's auto-routing behavior will work across all providers.

Required behavior:

• Detect the current session provider/channel before sending.
• Use that provider's correct media-send path and syntax.
• If the provider requires a provider-specific wrapper or message format for outbound images, use it.
• If the provider does not reliably auto-send images from a local file read, do not rely on that fallback.
• Treat image delivery as provider-specific, not skill-generic.

Auto-send workflow for the current chat

When the runtime supports sending generated images back to the active conversation, prefer this flow:

1. Generate the image with scripts/cf_workers_ai_image.py --output /tmp/openclaw/.
2. Capture the file path printed to stdout.
3. Send the generated image to the current chat using the active provider's correct outbound media format, not a generic path-only assumption.
4. Include a short caption describing whether the result came from text2img or img2img.
5. Delete the temporary file immediately after send succeeds.
6. Only keep the file in a persistent location when the user explicitly asked to save it.

Recommended captions:

• text2img → 按你的提示生成好了。
• img2img → 按你的源图和提示改好了。

If the request is iterative, mention what changed in the new version, such as style, prompt emphasis, or source-image guidance.

Parameters

• mode: text2img | img2img
• positional prompt: prompt text
• --image: required for img2img
• --output: required output file path or directory; use a temporary directory for normal chat delivery, or a persistent location only when the user explicitly requests a saved file
• --model: optional model override
• --negative-prompt: optional negative prompt
• --num-steps: optional sampling steps
• --guidance: optional guidance scale
• --strength: optional transformation strength
• --width, --height: optional text2img dimensions when supported by the model
• --seed: optional seed
• --timeout: HTTP timeout in seconds

The script's responsibility stops at generating the file and printing its saved path. The caller must handle outbound delivery using the active chat provider's required image-send format.

Smoke testing

Run the bundled smoke test script after changing the API script or credentials:

python3 scripts/smoke_test.py

What it does:

• checks CF_ACCOUNT_ID and CF_API_TOKEN
• creates a local PNG input for img2img
• runs one text2img request
• runs one img2img request
• verifies that each command writes an image file and prints a usable output path
• prints a JSON summary and exits non-zero if any mode fails

Use smoke tests to validate connectivity and gross regressions, not image quality.

Troubleshooting

Missing credentials

If the script says a required environment variable is missing, pass CF_ACCOUNT_ID and CF_API_TOKEN through Docker Compose. See references/docker-compose-env-example.md.

JSON instead of image

Workers AI may return JSON for errors or validation failures. Surface the full JSON body.

Storage policy

The default policy is temporary-file delivery.

• Generate into a temporary local path for normal chat delivery
• Return the saved file path so OpenClaw can send the file to the current conversation
• Delete the temporary file immediately after successful delivery
• Keep a persistent local copy only when the user explicitly asks for that behavior

401 / 403

The token is missing, invalid, expired, or does not have the right Cloudflare account permission.

404 / model not found

Cloudflare may have changed model identifiers. Retry with --model using the current Workers AI model name.

Input image issues

Use PNG for source images when possible.

Resource

scripts/cf_workers_ai_image.py

Use this script for deterministic, repeatable Cloudflare Workers AI image generation and editing.

scripts/smoke_test.py

Use this script for a fast end-to-end connectivity and output smoke test across the supported modes.