jpskill.com
🎬 動画AI コミュニティ 🟡 少し慣れが必要 👤 動画クリエイター・SNS運用

🎬 DeAPIAIメディアSuite(Community)

deAPI AI Media Suite (Community)

画像や音楽の生成、動画や音声の文字起こ

⏱ YouTube用15秒尺の構成 1時間 → 5分

📺 まず動画で見る(YouTube)

▶ Seedance 2.0 × Claude が最強すぎた。映画みたいなAI動画の作り方 ↗

※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。

📜 元の英語説明(参考)

The cheapest AI media API on the market. Generate images (Flux), music (AceStep), speech with voice cloning, transcribe video/audio, OCR, video generation, background removal, upscale, style transfer, and prompt enhancement — all through one unified API. Free $5 credit on signup.

🇯🇵 日本人クリエイター向け解説

一言でいうと

画像や音楽の生成、動画や音声の文字起こ

※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。

⚡ おすすめ: コマンド1行でインストール(60秒)

下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。

🍎 Mac / 🐧 Linux
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o deapi-ai-media-suite-community.zip https://jpskill.com/download/4714.zip && unzip -o deapi-ai-media-suite-community.zip && rm deapi-ai-media-suite-community.zip
🪟 Windows (PowerShell)
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/4714.zip -OutFile "$d\deapi-ai-media-suite-community.zip"; Expand-Archive "$d\deapi-ai-media-suite-community.zip" -DestinationPath $d -Force; ri "$d\deapi-ai-media-suite-community.zip"

完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。

💾 手動でダウンロードしたい(コマンドが難しい人向け)
  1. 1. 下の青いボタンを押して deapi-ai-media-suite-community.zip をダウンロード
  2. 2. ZIPファイルをダブルクリックで解凍 → deapi-ai-media-suite-community フォルダができる
  3. 3. そのフォルダを C:\Users\あなたの名前\.claude\skills\(Win)または ~/.claude/skills/(Mac)へ移動
  4. 4. Claude Code を再起動

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-17
取得日時
2026-05-17
同梱ファイル
2

💬 こう話しかけるだけ — サンプルプロンプト

  • deAPI AI Media Suite (Communit を使って、新商品PRの15秒動画プロンプトを作って
  • deAPI AI Media Suite (Communit で、Instagram Reels 向けの縦動画プロンプトを作って
  • deAPI AI Media Suite (Communit で参考にしたい動画のURLがある。これに近い雰囲気のプロンプトを生成

これをClaude Code に貼るだけで、このSkillが自動発動します。

📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

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

Function Use when user wants to...
Transcribe (URL) Transcribe YouTube, Twitch, Kick, X videos, or audio URLs
Transcribe (File) Transcribe uploaded local audio/video file
Generate Image Generate images from text descriptions (Flux models)
Generate Audio Convert text to speech (TTS, 54+ voices, 8 languages)
Clone Voice Clone a voice from short audio sample (3-10s)
Design Voice Create new voice from text description
Generate Music Generate music tracks, jingles, songs with vocals (AceStep)
Generate Video Create video from text or animate images
Boost Prompt Improve prompt quality before generation
OCR Extract text from images
Remove Background Remove background from images
Upscale Upscale image resolution (2x/4x)
Transform Image Apply style transfer to images (multi-image support)
Embeddings Generate text embeddings for semantic search
Check Balance Check account balance
Discover Models List available models dynamically

Agent Safety: Input Sanitization

All curl examples use placeholders. Before substituting user input into shell commands:

  1. JSON payloads — build JSON safely with jq, never inline raw strings:

    # ❌ UNSAFE — shell injection risk
    curl -d '{"prompt": "{USER_INPUT}"}'
    
    # ✅ SAFE — jq handles all escaping
    JSON=$(jq -n --arg p "$USER_INPUT" '{"prompt": $p}')
    curl -d "$JSON"
  2. URLs — validate format before use:

    if [[ ! "$URL" =~ ^https?:// ]]; then
      echo "Invalid URL"; exit 1
    fi
  3. File paths — verify file exists, use @ prefix only with validated local paths:

    [[ -f "$FILE_PATH" ]] && curl -F "image=@$FILE_PATH"
  4. Never pass raw user input directly into shell strings without escaping.


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 $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$JSON"

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

Error Action
401 Unauthorized Check DEAPI_API_KEY
429 Rate Limited Wait 60s and retry
500 Server Error Wait 30s and retry once

Model Selection Guide

Image generation (txt2img):

  • Quick drafts / iterations → Klein (fastest)
  • Photorealistic / detailed scenes → Flux1schnell (steps=8)
  • Speed critical → ZImageTurbo

Image transformation (img2img):

  • Logo/brand placement on objects → Qwen (preserves source better)
  • Style transfer / artistic → Klein (faster, creative freedom)
  • Combining multiple images → Klein (supports up to 3 images)

Video generation:

  • Best quality → LTX-2 19B (no steps/guidance needed)
  • Image animation → LTXv 13B (supports first_frame_image)

TTS:

  • Quick narration → custom_voice + Kokoro
  • Clone specific voice → voice_clone + reference audio
  • Create new voice from description → voice_design

Music:

  • Fast iteration → ACE-Step-v1.5-turbo (8 steps)
  • Production quality → ACE-Step-v1.5 (32+ steps)

Tip: Model slugs change. When in doubt, call GET /api/v1/client/models to get the current list.


Discover Available Models

Models change over time. Query the live list:

curl -s "https://api.deapi.ai/api/v1/client/models" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Accept: application/json"

Filter by task type:

# Only txt2img models
curl -s "https://api.deapi.ai/api/v1/client/models?filter[inference_types]=txt2img" \
  -H "Authorization: Bearer $DEAPI_API_KEY"

Each model returns: slug (use in requests), inference_types, info.limits, info.defaults, languages (TTS), loras (image).


Transcription (URL — YouTube, Audio, Video)

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

Endpoints:

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

Request (video):

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

Request (audio):

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

After polling: Present transcription with timestamps in readable format.


Transcription (File Upload)

Use when: user has a local audio/video file to transcribe (not a URL).

Endpoints:

  • Video file: videofile2txt (multipart/form-data)
  • Audio file: audiofile2txt (multipart/form-data)

Request (audio file):

[[ -f "$AUDIO_PATH" ]] || { echo "File not found"; exit 1; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/audiofile2txt" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "audio=@$AUDIO_PATH" \
  -F "include_ts=true" \
  -F "model=WhisperLargeV3"

Request (video file):

[[ -f "$VIDEO_PATH" ]] || { echo "File not found"; exit 1; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/videofile2txt" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "video=@$VIDEO_PATH" \
  -F "include_ts=true" \
  -F "model=WhisperLargeV3"

Image Generation (Flux)

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

Endpoint: txt2img

Models: | Model | API Name | Steps | Max Size | Notes | |-------|----------|-------|----------|-------| | Klein (default) | Flux_2_Klein_4B_BF16 | 4 (fixed) | 1536px | Fastest, recommended | | Flux | Flux1schnell | 4-10 | 2048px | Higher resolution | | Turbo | ZImageTurbo_INT8 | 4-10 | 1024px | Fastest inference |

Request:

JSON=$(jq -n --arg prompt "$PROMPT" --argjson seed "$RANDOM" '{
  prompt: $prompt,
  model: "Flux_2_Klein_4B_BF16",
  width: 1024,
  height: 1024,
  steps: 4,
  seed: ($seed % 1000000)
}')
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2img" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$JSON"

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 ID | Language | Description | |----------|----------|-------------| | af_bella | American EN | Warm, friendly (best quality) | | af_heart | American EN | Expressive, emotional | | am_adam | American EN | Deep, authoritative | | bf_emma | British EN | Elegant (best British) | | jf_alpha | Japanese | Natural Japanese female | | zf_xiaobei | Chinese | Mandarin female | | ef_dora | Spanish | Spanish female | | ff_siwis | French | French female (best quality) |

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

TTS Mode 1: Custom Voice (default)

Use a predefined voice from the list above.

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

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

TTS Mode 2: Voice Clone

Clone a voice from a short audio sample (3-10 seconds, max 10MB).

[[ -f "$REF_AUDIO" ]] || { echo "Reference audio not found"; exit 1; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2audio" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "text=$TEXT" \
  -F "model=Kokoro" \
  -F "mode=voice_clone" \
  -F "ref_audio=@$REF_AUDIO" \
  -F "ref_text=$REF_TRANSCRIPT" \
  -F "lang=en-us" \
  -F "speed=1.0" \
  -F "format=mp3" \
  -F "sample_rate=24000"
Parameter Required Description
mode Yes voice_clone
ref_audio Yes Audio file (mp3/wav/flac/ogg/m4a), 3-10s, max 10MB
ref_text No Transcript of reference audio (improves accuracy)

TTS Mode 3: Voice Design

Generate a voice from a text description.

JSON=$(jq -n --arg text "$TEXT" --arg instruct "$VOICE_DESCRIPTION" '{
  text: $text,
  model: "Kokoro",
  mode: "voice_design",
  instruct: $instruct,
  lang: "en-us",
  speed: 1.0,
  format: "mp3",
  sample_rate: 24000
}')
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2audio" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$JSON"
Parameter Required Description
mode Yes voice_design
instruct Yes Natural language voice description (e.g. "A warm female voice with a slight British accent")

Music Generation (AceStep 1.5)

Use when: user wants to generate music tracks, jingles, or songs with vocals.

Endpoint: txt2music

Models: | Model | Slug | Steps | Duration | Notes | |-------|------|-------|----------|-------| | AceStep 1.5 Turbo | ACE-Step-v1.5-turbo | 8 | 10-600s | Fast, recommended | | AceStep 1.5 | ACE-Step-v1.5 | 32+ | 10-600s | Higher quality, slower |

Request:

JSON=$(jq -n --arg caption "$CAPTION" --arg lyrics "$LYRICS" '{
  caption: $caption,
  model: "ACE-Step-v1.5-turbo",
  lyrics: $lyrics,
  duration: 30,
  bpm: 120,
  keyscale: "C major",
  timesignature: 4,
  inference_steps: 8,
  guidance_scale: 7,
  seed: -1,
  format: "mp3"
}')
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2music" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$JSON"

Parameters: | Parameter | Required | Range | Description | |-----------|----------|-------|-------------| | caption | Yes | — | Text description of music style | | model | Yes | — | Model slug | | lyrics | No | — | Lyrics text. Use "[Instrumental]" for no vocals | | duration | Yes | 10–600 sec | Track duration | | bpm | No | 30–300 | Beats per minute | | keyscale | No | — | Musical key (e.g. "C major", "F# minor") | | timesignature | No | 2/3/4/6 | Time signature | | vocal_language | No | — | Language code for vocals (en, es, fr, etc.) | | inference_steps | Yes | 1–100 | Use 8 for turbo, 32+ for base | | guidance_scale | Yes | 0–20 | Classifier-free guidance | | seed | Yes | -1 or 0+ | -1 = random | | format | Yes | mp3/wav/flac/ogg | Output format |

Tips:

  • Turbo model with 8 steps is enough for most use cases
  • For higher quality: base model with 32+ steps
  • [Instrumental] in lyrics → track without vocals
  • Duration > 120s may be more expensive — start shorter

Prompt Enhancement (Boosters)

Use when: user wants to improve prompt quality before generating images/video/speech.

Endpoints: | Booster | Endpoint | Use Case | |---------|----------|----------| | Image Prompt | POST /prompt/image | Improve txt2img prompts | | Video Prompt | POST /prompt/video | Improve txt2video/img2video prompts | | Speech Prompt | POST /prompt/speech | Improve TTS text | | Img2Img Prompt | POST /prompt/image2image | Improve img2img prompts | | Sample Prompts | GET /prompts/samples | Generate creative prompt ideas |

Request (Image Booster):

JSON=$(jq -n --arg p "$PROMPT" '{"prompt": $p}')
curl -s -X POST "https://api.deapi.ai/api/v1/client/prompt/image" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d "$JSON"

Response:

{
  "prompt": "A majestic cat floating in outer space, surrounded by stars and galaxies, cosmic nebula colors, cinematic lighting, ultra-detailed, 8K",
  "negative_prompt": "blurry, low quality, distorted, deformed"
}

Sample Prompts Generator:

curl -s "https://api.deapi.ai/api/v1/client/prompts/samples?type=text2image&topic=cyberpunk" \
  -H "Authorization: Bearer $DEAPI_API_KEY"

Tip: Use boosters before sending prompts to generation — output quality improves significantly.


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)

Models: | Model | Slug | Max Size | FPS | Frames | Notes | |-------|------|----------|-----|--------|-------| | LTX-2 19B (preferred) | Ltx2_19B_Dist_FP8 | 1024x1024 | 24 (fixed) | 49-241 | Best quality, no steps/guidance params | | LTX-Video 13B | Ltxv_13B_0_9_8_Distilled_FP8 | 768x768 | 30 (fixed) | 30-120 | steps=1, guidance=0 required |

Request (text-to-video, LTX-2 — preferred):

curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2video" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "prompt=$PROMPT" \
  -F "model=Ltx2_19B_Dist_FP8" \
  -F "width=768" \
  -F "height=768" \
  -F "frames=120" \
  -F "fps=24" \
  -F "seed=$((RANDOM % 1000000))"

Parameters (LTX-2): | Parameter | Required | Constraints | Description | |-----------|----------|-------------|-------------| | prompt | Yes | — | Video description | | model | Yes | — | Ltx2_19B_Dist_FP8 | | width | Yes | 512-1024 | Video width | | height | Yes | 512-1024 | Video height | | frames | Yes | 49-241 | Number of frames | | fps | Yes | 24 (fixed) | Frames per second | | seed | Yes | 0-999999 | Random seed | | steps | No | Do NOT send | Not supported | | guidance | No | Do NOT send | Not supported |

Request (image-to-video):

[[ -f "$IMAGE_PATH" ]] || { curl -s -o "$IMAGE_PATH" "$IMAGE_URL"; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2video" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "first_frame_image=@$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 % 1000000))"

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:

[[ -f "$IMAGE_PATH" ]] || { curl -s -o "$IMAGE_PATH" "$IMAGE_URL"; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2txt" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@$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:

[[ -f "$IMAGE_PATH" ]] || { curl -s -o "$IMAGE_PATH" "$IMAGE_URL"; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/img-rmbg" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@$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: | Scale | Model | |-------|-------| | 2x | RealESRGAN_x2 | | 4x | RealESRGAN_x4 |

Request:

[[ -f "$IMAGE_PATH" ]] || { curl -s -o "$IMAGE_PATH" "$IMAGE_URL"; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/img-upscale" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@$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: | Model | API Name | Max Images | Guidance | Steps | Notes | |-------|----------|------------|----------|-------|-------| | Klein (default) | Flux_2_Klein_4B_BF16 | 3 | N/A (ignore) | 4 (fixed) | Faster, multi-image | | Qwen | QwenImageEdit_Plus_NF4 | 1 | 7.5 | 10-50 (default 20) | More control |

Request (Klein, supports up to 3 images):

[[ -f "$IMAGE1" ]] || { curl -s -o "$IMAGE1" "$IMAGE_URL_1"; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2img" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@$IMAGE1" \
  -F "prompt=$STYLE_PROMPT" \
  -F "model=Flux_2_Klein_4B_BF16" \
  -F "steps=4" \
  -F "seed=$((RANDOM % 1000000))"

Request (Qwen, higher quality single image):

[[ -f "$IMAGE1" ]] || { curl -s -o "$IMAGE1" "$IMAGE_URL"; }
curl -s -X POST "https://api.deapi.ai/api/v1/client/img2img" \
  -H "Authorization: Bearer $DEAPI_API_KEY" \
  -F "image=@$IMAGE1" \
  -F "prompt=$STYLE_PROMPT" \
  -F "model=QwenImageEdit_Plus_NF4" \
  -F "guidance=7.5" \
  -F "steps=20" \
  -F "seed=$((RANDOM % 1000000))"

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:

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

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)

Operation Cost
Transcription ~$0.02/hour
Image Generation ~$0.002/image
TTS ~$0.001/1000 chars
Music Generation ~$0.01/track
Video Generation ~$0.05/video
OCR ~$0.001/image
Remove BG ~$0.001/image
Upscale ~$0.002/image
Embeddings ~$0.0001/1000 tokens

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 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

Input sanitization:

  • All curl examples in this skill use jq for safe JSON construction
  • Agents MUST NOT substitute raw user input directly into shell strings
  • URL inputs should be validated (must start with https://)
  • File paths should be verified before use ([[ -f "$path" ]])

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:

同梱ファイル

※ ZIPに含まれるファイル一覧。`SKILL.md` 本体に加え、参考資料・サンプル・スクリプトが入っている場合があります。