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Revert "feat: add inference.sh integration (infsh tool + skill) (#1682)" (#1684)

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skills/inference-sh/cli/references/running-apps.md
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# Running Apps
## Basic Run
```bash
infsh app run user/app-name --input input.json
```
## Inline JSON
```bash
infsh app run falai/flux-dev-lora --input '{"prompt": "a sunset over mountains"}'
```
## Version Pinning
```bash
infsh app run user/app-name@1.0.0 --input input.json
```
## Local File Uploads
The CLI automatically uploads local files when you provide a file path instead of a URL. Any field that accepts a URL also accepts a local path:
```bash
# Upscale a local image
infsh app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}'
# Image-to-video from local file
infsh app run falai/wan-2-5-i2v --input '{"image": "./my-image.png", "prompt": "make it move"}'
# Avatar with local audio and image
infsh app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/speech.mp3", "image": "/path/to/face.jpg"}'
# Post tweet with local media
infsh app run x/post-create --input '{"text": "Check this out!", "media": "./screenshot.png"}'
```
Supported paths:
- Absolute paths: `/home/user/images/photo.jpg`
- Relative paths: `./image.png`, `../data/video.mp4`
- Home directory: `~/Pictures/photo.jpg`
## Generate Sample Input
Before running, generate a sample input file:
```bash
infsh app sample falai/flux-dev-lora
```
Save to file:
```bash
infsh app sample falai/flux-dev-lora --save input.json
```
Then edit `input.json` and run:
```bash
infsh app run falai/flux-dev-lora --input input.json
```
## Workflow Example
### Image Generation with FLUX
```bash
# 1. Get app details
infsh app get falai/flux-dev-lora
# 2. Generate sample input
infsh app sample falai/flux-dev-lora --save input.json
# 3. Edit input.json
# {
# "prompt": "a cat astronaut floating in space",
# "num_images": 1,
# "image_size": "landscape_16_9"
# }
# 4. Run
infsh app run falai/flux-dev-lora --input input.json
```
### Video Generation with Veo
```bash
# 1. Generate sample
infsh app sample google/veo-3-1-fast --save input.json
# 2. Edit prompt
# {
# "prompt": "A drone shot flying over a forest at sunset"
# }
# 3. Run
infsh app run google/veo-3-1-fast --input input.json
```
### Text-to-Speech
```bash
# Quick inline run
infsh app run falai/kokoro-tts --input '{"text": "Hello, this is a test."}'
```
## Task Tracking
When you run an app, the CLI shows the task ID:
```
Running falai/flux-dev-lora
Task ID: abc123def456
```
For long-running tasks, you can check status anytime:
```bash
# Check task status
infsh task get abc123def456
# Get result as JSON
infsh task get abc123def456 --json
# Save result to file
infsh task get abc123def456 --save result.json
```
### Run Without Waiting
For very long tasks, run in background:
```bash
# Submit and return immediately
infsh app run google/veo-3 --input input.json --no-wait
# Check later
infsh task get <task-id>
```
## Output
The CLI returns the app output directly. For file outputs (images, videos, audio), you'll receive URLs to download.
Example output:
```json
{
"images": [
{
"url": "https://cloud.inference.sh/...",
"content_type": "image/png"
}
]
}
```
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| "invalid input" | Schema mismatch | Check `infsh app get` for required fields |
| "app not found" | Wrong app name | Check `infsh app list --search` |
| "quota exceeded" | Out of credits | Check account balance |
## Documentation
- [Running Apps](https://inference.sh/docs/apps/running) - Complete running apps guide
- [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates
- [Setup Parameters](https://inference.sh/docs/apps/setup-parameters) - Configuring app inputs