10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions. Use when the user needs to chain multiple AI models or automate multi-step content creation.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install eftalyurtseven/eachlabs-workflows打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Build, manage, and execute multi-step AI workflows that chain multiple models together via the EachLabs Workflows API.
Header: X-API-Key: <your-api-key>
Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.
https://workflows.eachlabs.run/api/v1
To build a workflow, you must: (1) create the workflow, then (2) create a version with the steps.
curl -X POST https://workflows.eachlabs.run/api/v1/workflows \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"name": "Product Photo to Video",
"description": "Generate a product video from a product photo"
}'
This returns a workflowID. Use it in the next step.
curl -X POST https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"description": "Initial version",
"steps": [
{
"name": "enhance_photo",
"model": "gpt-image-v1-5-edit",
"version": "0.0.1",
"input": {
"prompt": "Place this product on a clean white background with studio lighting",
"image_urls": ["{{inputs.image_url}}"],
"quality": "high"
}
},
{
"name": "create_video",
"model": "pixverse-v5-6-image-to-video",
"version": "0.0.1",
"input": {
"image_url": "{{steps.enhance_photo.output}}",
"prompt": "Slow cinematic rotation around the product",
"duration": "5",
"resolution": "1080p"
}
}
]
}'
Important: Before adding a model to a workflow step, check its schema with GET https://api.eachlabs.ai/v1/model?slug=<slug> to validate the correct input parameters.
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# EachLabs Workflows
Build, manage, and execute multi-step AI workflows that chain multiple models together via the EachLabs Workflows API.
## Authentication
```
Header: X-API-Key: <your-api-key>
```
Set the `EACHLABS_API_KEY` environment variable. Get your key at [eachlabs.ai](https://eachlabs.ai).
## Base URL
```
https://workflows.eachlabs.run/api/v1
```
## Building a Workflow
To build a workflow, you must: (1) create the workflow, then (2) create a version with the steps.
### Step 1: Create the Workflow
```bash
curl -X POST https://workflows.eachlabs.run/api/v1/workflows \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"name": "Product Photo to Video",
"description": "Generate a product video from a product photo"
}'
```
This returns a `workflowID`. Use it in the next step.
### Step 2: Create a Version with Steps
```bash
curl -X POST https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"description": "Initial version",
"steps": [
{
"name": "enhance_photo",
"model": "gpt-image-v1-5-edit",
"version": "0.0.1",
"input": {
"prompt": "Place this product on a clean white background with studio lighting",
"image_urls": ["{{inputs.image_url}}"],
"quality": "high"
}
},
{
"name": "create_video",
"model": "pixverse-v5-6-image-to-video",
"version": "0.0.1",
"input": {
"image_url": "{{steps.enhance_photo.output}}",
"prompt": "Slow cinematic rotation around the product",
"duration": "5",
"resolution": "1080p"
}
}
]
}'
```
**Important:** Before adding a model to a workflow step, check its schema with `GET https://api.eachlabs.ai/v1/model?slug=<slug>` to validate the correct input parameters.
### Step 3: Trigger the Workflow
```...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.