Skip to main content

lovart

Lovart API for AI-powered design generation. Use when user mentions "Lovart", "AI design", "generate image", "generate video", "AI art", "product photography", "marketing design", or visual content creation.

Zur Installation springen

Quellinformationen

Repository
okou-ai/okou-skills
Letzte Quellaktivität
12. August 2026 um 04:49
Erkannte Sprache von SKILL.md
Englisch
Sterne
76
Forks
18

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
lovart
description
Lovart API for AI-powered design generation. Use when user mentions "Lovart", "AI design", "generate image", "generate video", "AI art", "product photography", "marketing design", or visual content creation.
## Troubleshooting If requests fail, run `okou doctor check-connector --env-name LOVART_ACCESS_KEY` or `okou doctor check-connector --url https://lgw.lovart.ai/v1/openapi/mode/query --method POST` ## Authentication All requests use AK/SK HMAC-SHA256 signature authentication. Each request requires five signed headers: | Header | Value | |---|---| | `X-Access-Key` | `$LOVART_ACCESS_KEY` | | `X-Timestamp` | Current Unix timestamp | | `X-Signature` | HMAC-SHA256 of `{METHOD}\n{PATH}\n{TIMESTAMP}` using `$LOVART_SECRET_KEY` | | `X-Signed-Method` | HTTP method (e.g. `POST`) | | `X-Signed-Path` | Request path (e.g. `/v1/openapi/chat`) | ## Environment Variables | Variable | Description | |---|---| | `LOVART_ACCESS_KEY` | Lovart access key (format: `ak_...`) | | `LOVART_SECRET_KEY` | Lovart secret key (format: `sk_...`) | ## Key Endpoints Base URL: `https://lgw.lovart.ai` ### 1. Generate Design (Chat) `POST /v1/openapi/chat` Send a natural-language prompt to generate images, videos, or other visual content. Returns a `thread_id` for tracking. ```bash TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "POST\n/v1/openapi/chat\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s -X POST "https://lgw.lovart.ai/v1/openapi/chat" --header "Content-Type: application/json" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: POST" --header "X-Signed-Path: /v1/openapi/chat" -d @/tmp/lovart_chat.json ``` Write to `/tmp/lovart_chat.json`: ```json { "prompt": "<your-design-description>", "project_id": "<your-project-id>" } ``` To continue a conversation, add `"thread_id": "<your-thread-id>"`. To attach reference images, add `"attachments": ["<cdn-url>"]`. To specify a preferred model, add `"tool_config": {"prefer_tool_categories": {"IMAGE": ["generate_image_flux_2_max"]}}`. To force a specific tool (e.g. upscale), add `"tool_config": {"include_tools": ["upscale_image"]}`. Response: `{"thread_id": "..."}` ### 2. Check Generation Status `GET /v1/openapi/chat/status?thread_id=<thread-id>` ```bash TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "GET\n/v1/openapi/chat/status\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s "https://lgw.lovart.ai/v1/openapi/chat/status?thread_id=<your-thread-id>" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: GET" --header "X-Signed-Path: /v1/openapi/chat/status" ``` Response includes `status` (`running`, `done`, `pending_confirmation`, `failed`) and `progress` (0-100). ### 3. Get Generation Result `GET /v1/openapi/chat/result?thread_id=<thread-id>` ```bash TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "GET\n/v1/openapi/chat/result\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s "https://lgw.lovart.ai/v1/openapi/chat/result?thread_id=<your-thread-id>" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: GET" --header "X-Signed-Path: /v1/openapi/chat/result" ``` Response includes `items` with generated artifacts (image URLs, video URLs) and `thread_id`. ### 4. Confirm High-Cost Operation `POST /v1/openapi/chat/confirm` When status is `pending_confirmation`, confirm to proceed with high-cost operations (e.g. video generation). ```bash TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "POST\n/v1/openapi/chat/confirm\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s -X POST "https://lgw.lovart.ai/v1/openapi/chat/confirm" --header "Content-Type: application/json" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: POST" --header "X-Signed-Path: /v1/openapi/chat/confirm" -d @/tmp/lovart_confirm.json ``` Write to `/tmp/lovart_confirm.json`: ```json { "thread_id": "<your-thread-id>" } ``` ### 5. Create Project `POST /v1/openapi/project/save` ```bash TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "POST\n/v1/openapi/project/save\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s -X POST "https://lgw.lovart.ai/v1/openapi/project/save" --header "Content-Type: application/json" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: POST" --header "X-Signed-Path: /v1/openapi/project/save" -d @/tmp/lovart_project.json ``` Write to `/tmp/lovart_project.json`: ```json { "project_id": "", "project_name": "<your-project-name>", "project_type": 3 } ``` Response includes `project_id`. Use the returned ID in subsequent chat requests. ### 6. Set Generation Mode `POST /v1/openapi/mode/set` Switch between fast mode (costs credits, no queue) and unlimited mode (free, may queue). ```bash TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "POST\n/v1/openapi/mode/set\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s -X POST "https://lgw.lovart.ai/v1/openapi/mode/set" --header "Content-Type: application/json" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: POST" --header "X-Signed-Path: /v1/openapi/mode/set" -d @/tmp/lovart_mode.json ``` For fast mode, write to `/tmp/lovart_mode.json`: ```json { "unlimited": false } ``` For unlimited mode, write to `/tmp/lovart_mode.json`: ```json { "unlimited": true } ``` ### 7. Query Generation Mode `POST /v1/openapi/mode/query` ```bash TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "POST\n/v1/openapi/mode/query\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s -X POST "https://lgw.lovart.ai/v1/openapi/mode/query" --header "Content-Type: application/json" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: POST" --header "X-Signed-Path: /v1/openapi/mode/query" -d '{}' ``` ## Available Models Use model names in `tool_config.prefer_tool_categories` or `tool_config.include_tools`: **IMAGE:** `generate_image_midjourney`, `generate_image_nano_banana_pro`, `generate_image_nano_banana_2`, `generate_image_nano_banana`, `generate_image_gpt_image_1_5`, `generate_image_seedream_v5`, `generate_image_seedream_v4_5`, `generate_image_seedream_v4`, `generate_image_imagen_v4`, `generate_image_flux_2_max`, `generate_image_flux_2_pro` **VIDEO:** `generate_video_seedance_v2_0`, `generate_video_seedance_v2_0_fast`, `generate_video_seedance_pro_v1_5`, `generate_video_kling_v3`, `generate_video_kling_v3_omni`, `generate_video_kling_v2_6`, `generate_video_kling_omni_v1`, `generate_video_veo3_1`, `generate_video_veo3_1_fast`, `generate_video_veo3`, `generate_video_sora_v2_pro`, `generate_video_sora_v2`, `generate_video_wan_v2_6`, `generate_video_hailuo_v2_3`, `generate_video_vidu_q2` **3D:** `generate_3d_tripo` **UTILITY:** `upscale_image` ## Common Workflows ### Generate an Image and Retrieve the Result ```bash # Step 1: Send chat request TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "POST\n/v1/openapi/chat\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s -X POST "https://lgw.lovart.ai/v1/openapi/chat" --header "Content-Type: application/json" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: POST" --header "X-Signed-Path: /v1/openapi/chat" -d '{"prompt": "A modern logo design with gradient blue to purple", "project_id": "<your-project-id>"}' # Step 2: Poll status until done (replace <thread-id> from Step 1) TIMESTAMP=$(date +%s) && SIGNATURE=$(echo -ne "GET\n/v1/openapi/chat/status\n${TIMESTAMP}" | openssl dgst -sha256 -hmac "$LOVART_SECRET_KEY" | awk '{print $NF}') && curl -s "https://lgw.lovart.ai/v1/openapi/chat/status?thread_id=<your-thread-id>" --header "X-Access-Key: $LOVART_ACCESS_KEY" --header "X-Timestamp: ${TIMESTAMP}" --header "X-Signature: ${SIGNATURE}" --header "X-Signed-Method: GET" --header "X-Signed-Path: /v1/openapi/chat/status" # Step 3: Get result when status is "done"
Auf GitHub ansehen
Diese SKILL.md ist sehr gross, daher zeigt SkillsMP hier nur den ersten Abschnitt. Auf GitHub ansehen