deAPI AI Media Suite

deAPI Media Generation

AI-powered media tools via decentralized GPU network. Get your API key at deapi.ai (free $5 credit on signup).

Setup

export DEAPI_API_KEY=your_api_key_here

Available Functions

Async Pattern (Important!)

All deAPI requests are asynchronous. Follow this pattern for every operation:

1. Submit Request

curl -s -X POST "https://api.deapi.ai/api/v1/client/{endpoint}" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{...}'

Response contains request_id.

2. Poll Status (loop every 10 seconds)

curl -s "https://api.deapi.ai/api/v1/client/request-status/{request_id}" \
  -H "Authorization: Bearer $DEAPI_API_KEY"

3. Handle Status

• processing → wait 10s, poll again
• done → fetch result from result_url
• failed → report error to user

Common Error Handling

Transcription (YouTube, Audio, Video)

Use when: user wants to transcribe video from YouTube, X, Twitch, Kick or audio files.

Endpoints:

• Video (YouTube, mp4, webm): vid2txt
• Audio (mp3, wav, m4a, flac, ogg): aud2txt

Request (video):

curl -s -X POST "https://api.deapi.ai/api/v1/client/vid2txt" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"video_url": "{VIDEO_URL}", "include_ts": true, "model": "WhisperLargeV3"}'

Request (audio):

curl -s -X POST "https://api.deapi.ai/api/v1/client/aud2txt" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"audio_url": "{AUDIO_URL}", "include_ts": true, "model": "WhisperLargeV3"}'

After polling: Present transcription with timestamps in readable format.

Image Generation (Flux)

Use when: user wants to generate images from text descriptions.

Endpoint: txt2img

Models:

Request:

curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2img" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "{PROMPT}",
    "model": "Flux_2_Klein_4B_BF16",
    "width": 1024,
    "height": 1024,
    "steps": 4,
    "seed": {RANDOM_0_TO_999999}
  }'

Note: Klein model does NOT support guidance parameter - omit it.

Text-to-Speech (54+ Voices)

Use when: user wants to convert text to speech.

Endpoint: txt2audio

Popular Voices:

Voice format: {lang}{gender}_{name} (e.g., af_bella = American Female Bella)

Request:

curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2audio" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "{TEXT}",
    "voice": "af_bella",
    "model": "Kokoro",
    "lang": "en-us",
    "speed": 1.0,
    "format": "mp3",
    "sample_rate": 24000
  }'

Parameters:

• lang: en-us, en-gb, ja, zh, es, fr, hi, it, pt-br
• speed: 0.5-2.0
• format: mp3/wav/flac/ogg
• sample_rate: 22050/24000/44100/48000

Video Generation

Use when: user wants to generate video from text or animate an image.

Endpoints:

• Text-to-Video: txt2video (multipart/form-data)
• Image-to-Video: img2video (multipart/form-data)

⚠️ IMPORTANT: Model-specific constraints for Ltxv_13B_0_9_8_Distilled_FP8:

• guidance: MUST be 0 (max value!)
• steps: MUST be 1 (max value!)
• fps: minimum 30

Request (text-to-video):

curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2video" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "prompt={PROMPT}" \
  -F "model=Ltxv_13B_0_9_8_Distilled_FP8" \
  -F "width=512" \
  -F "height=512" \
  -F "guidance=0" \
  -F "steps=1" \
  -F "frames=120" \
  -F "fps=30" \
  -F "seed={RANDOM_0_TO_999999}"

Parameters:

Request (image-to-video):

# Download image first if URL provided
curl -s -o {LOCAL_IMAGE_PATH} "{IMAGE_URL}"

curl -s -X POST "https://api.deapi.ai/api/v1/client/img2video" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "first_frame_image=@{LOCAL_IMAGE_PATH}" \
  -F "prompt=gentle movement, cinematic" \
  -F "model=Ltxv_13B_0_9_8_Distilled_FP8" \
  -F "width=512" \
  -F "height=512" \
  -F "guidance=0" \
  -F "steps=1" \
  -F "frames=120" \
  -F "fps=30" \
  -F "seed={RANDOM_0_TO_999999}"

Note: Video generation can take 1-3 minutes.

OCR (Image to Text)

Use when: user wants to extract text from an image.

Endpoint: img2txt (multipart/form-data)

Request:

# Download image first if URL provided
curl -s -o {LOCAL_IMAGE_PATH} "{IMAGE_URL}"

# Send OCR request
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2txt" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@{LOCAL_IMAGE_PATH}" \
  -F "model=Nanonets_Ocr_S_F16"

Background Removal

Use when: user wants to remove background from an image.

Endpoint: img-rmbg (multipart/form-data)

Request:

# Download image first if URL provided
curl -s -o {LOCAL_IMAGE_PATH} "{IMAGE_URL}"

# Send remove-bg request
curl -s -X POST "https://api.deapi.ai/api/v1/client/img-rmbg" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@{LOCAL_IMAGE_PATH}" \
  -F "model=Ben2"

Result: PNG with transparent background.

Image Upscale (2x/4x)

Use when: user wants to upscale/enhance image resolution.

Endpoint: img-upscale (multipart/form-data)

Models:

Request:

# Download image first if URL provided
curl -s -o {LOCAL_IMAGE_PATH} "{IMAGE_URL}"

# Send upscale request
curl -s -X POST "https://api.deapi.ai/api/v1/client/img-upscale" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@{LOCAL_IMAGE_PATH}" \
  -F "model=RealESRGAN_x4"

Image Transformation (Style Transfer)

Use when: user wants to transform image style, combine images, or apply AI modifications.

Endpoint: img2img (multipart/form-data)

Models:

Request (Klein, supports up to 3 images):

# Download images first
curl -s -o {LOCAL_IMAGE_1} "{IMAGE_URL_1}"
curl -s -o {LOCAL_IMAGE_2} "{IMAGE_URL_2}"  # optional

# Send transform request (Klein - no guidance)
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2img" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@{LOCAL_IMAGE_1}" \
  -F "image=@{LOCAL_IMAGE_2}" \
  -F "prompt={STYLE_PROMPT}" \
  -F "model=Flux_2_Klein_4B_BF16" \
  -F "steps=4" \
  -F "seed={RANDOM_0_TO_999999}"

Request (Qwen, higher quality single image):

# Download image first
curl -s -o {LOCAL_IMAGE_1} "{IMAGE_URL}"

# Send transform request (Qwen - with guidance)
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2img" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@{LOCAL_IMAGE_1}" \
  -F "prompt={STYLE_PROMPT}" \
  -F "model=QwenImageEdit_Plus_NF4" \
  -F "guidance=7.5" \
  -F "steps=20" \
  -F "seed={RANDOM_0_TO_999999}"

Example prompts: "convert to watercolor painting", "anime style", "cyberpunk neon aesthetic"

Text Embeddings

Use when: user needs embeddings for semantic search, clustering, or RAG.

Endpoint: txt2embedding

Request:

curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2embedding" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": "{TEXT}", "model": "Bge_M3_FP16"}'

Result: 1024-dimensional vector (BGE-M3, multilingual)

Check Balance

Use when: user wants to check remaining credits.

Request:

curl -s "https://api.deapi.ai/api/v1/client/balance" \
  -H "Authorization: Bearer $DEAPI_API_KEY"

Response: { "data": { "balance": 4.25 } }

Pricing (Approximate)

Free $5 credit on signup at deapi.ai.

Converted from deapi-ai/claude-code-skills for Clawdbot/OpenClaw.

Security & Privacy Note

This skill provides documentation for the deAPI.ai REST API, a legitimate decentralized AI media service.

Security:

• All curl commands are examples showing how to call the API
• Requests go to api.deapi.ai (official deAPI endpoint)
• Local file paths (e.g., {LOCAL_IMAGE_PATH}) are placeholders - use any suitable temporary location
• The skill itself does not execute code or download binaries
• API key is required and must be set by user via DEAPI_API_KEY environment variable

Privacy considerations:

• Media URLs you submit (YouTube links, images) are sent to deapi.ai for processing
• Generated results are returned via result_url which may be temporarily accessible via direct link
• Results are stored on deAPI's infrastructure - review their privacy policy for retention details
• Do not process sensitive/confidential media without understanding data handling

Provenance:

• Service provider: deapi.ai
• Original skill source: github.com/deapi-ai/claude-code-skills
• API documentation: docs.deapi.ai