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Provider Veed
Mode: video · Models: 2
Vendor: VEED · Official API docs: Fabric 1.0 API
VEED Fabric 1.0 is an image-to-video model that makes any still talk: an image plus an audio track produces a lip-synced MP4. There are no preset avatars — any photo, illustration, mascot, or 3D render works. Output is 480p or 720p, with duration following the audio length (up to ~5 minutes). It comes in a standard and a Fast variant.
| id | Name | Input type |
|---|---|---|
veed-fabric-v1 |
VEED Fabric 1.0 | i2v |
veed-fabric-v1-fast |
VEED Fabric 1.0 Fast | i2v |
# make a portrait talk from a voiceover track
gen-ai generate -m veed-fabric-v1 \
--image ./portrait.png \
-a ./voiceover.mp3 \
-r 720p
# faster, cheaper draft at 480p
gen-ai generate -m veed-fabric-v1-fast \
--image ./mascot.png \
-a ./speech.wav \
-r 480p{ "name": "picsart_generate",
"arguments": {
"model": "veed-fabric-v1",
"imageUrls": ["https://example.com/portrait.png"],
"audioUrl": "https://example.com/voiceover.mp3",
"resolution": "720p"
} }Full parameter surface for every model, sourced from gen-ai models info <id> --json. CLI flags show the primary short form; the canonical --kebab-case long form always works too.
Try veed-fabric-v1 in Playground ↗
Input type: i2v
| Param | CLI flag | Type | Values |
|---|---|---|---|
prompt |
-p |
text | free text |
resolution |
-r |
enum |
480p · 720p (default 720p) |
imageUrls |
-i |
file | required image (up to 1) |
audioUrl |
-a |
file | required audio |
Try veed-fabric-v1-fast in Playground ↗
Input type: i2v
| Param | CLI flag | Type | Values |
|---|---|---|---|
prompt |
-p |
text | free text |
resolution |
-r |
enum |
480p · 720p (default 720p) |
imageUrls |
-i |
file | required image (up to 1) |
audioUrl |
-a |
file | required audio |
Notes: Duration is not a parameter — it equals the audio length (up to ~5 min).
gen-ai pricing veed-fabric-v1 -r 720pCost is billed per second and scales with resolution (480p is cheaper than 720p) and the audio length, which sets the output duration.
Picsart CLI & MCP · Repo · AI Playground app
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