Wan-2.1 Text-to-Video with LoRAs
alibaba/wan/2.1/text-to-video/loraWan 2.1 Lora by Alibaba - generate cinematic videos from text descriptions with AI. Create high-quality video content with natural motion, camera control, and optional audio generation.
- Base price
- $0.75USD / run
- Execution
- async
- Model type
- video
- Input fields
- 7
Try the model
Playground
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Complete the inputs, then click Run.
Model card
Specifications
Pricing
- Base price
- $0.75 / run
Context & modalities
- Input
- Schema-defined
- Output
- video
Capabilities
- Chat
- Not supported
- Vision
- Not supported
- Reasoning
- Not supported
- Structured output
- Not supported
- Function calling
- Not supported
- Audio input
- Not supported
Access
- Provider
- Alibaba
- Model ID
- alibaba/wan/2.1/text-to-video/lora
- Execution
- async
- Base URL
- https://api.sandbase.ai
- API
- Unified Run API
- Endpoint
- /v1/run
API README
Wan-2.1 Text-to-Video with LoRAs
Wan-2.1 Text-to-Video with LoRAs is the Wan 2.1 adapted workflow for prompt-led video. It models visual appearance and time together so the route’s written direction, source imagery, speech, masks, or structural conditions influence one coherent result rather than a collection of disconnected frames or a generic endpoint response.
Choose this exact route when the available assets and deliverable specifically call for prompt-led video. Identify every subject and source, state the desired action or transformation, then describe camera behavior, pacing, environment, lighting, atmosphere, and preservation requirements; local schema fields handle resolution, duration, seed, and delivery separately from the creative brief.
Highlights
- 2.1 LoRA Written-scene filmmaking. Builds subjects, action, setting, and shot language from a text brief.
- 2.1 LoRA Temporal motion coherence. Maintains plausible movement and interaction across consecutive frames.
- 2.1 LoRA Cinematic camera interpretation. Responds to framing, lens behavior, camera movement, and pacing.
- 2.1 LoRA Scene continuity. Keeps environment and subject logic connected throughout the clip. The route adds a lightweight task adaptation.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.75 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact named workflow | The intended task belongs to another media route |
| All required reference or control media is available | Necessary assets or rights are unavailable |
| The brief can state transformation and preservation goals | Output must be deterministic at pixel or frame level |
| Supported duration, resolution, and format fit delivery | Final placement requires unsupported specifications |
| An asynchronous generated result fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Identify the primary subject and every source or condition, state the intended transformation or action, then describe composition, camera or viewpoint, lighting, materials, pacing, atmosphere, and exact preservation requirements. Refer to multiple inputs in their schema order.
{
"prompt": "A precisely directed composition with explicit subject, transformation, camera or viewpoint, lighting, material, and preservation requirements",
"seed": 1,
"loras": [],
"resolution": "480p"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.1/text-to-video/lora |
| Input fields | seed (integer)<br>loras (array)<br>prompt (string)<br>resolution (string; 480p, 720p)<br>turbo_mode (boolean)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>reverse_video (boolean) |
| Required input | prompt |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.1/text-to-videoalibaba/wan/2.1/image-to-videoalibaba/wan/2.1/vace
Start building
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
-X POST "https://api.sandbase.ai/v1/run" \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'SANDBASE_JSON'
{
"model": "alibaba/wan/2.1/text-to-video/lora",
"loras": [],
"prompt": "A stylish woman walks down a Tokyo street filled with warm glowing neon and animated city signage. She wears a black leather jacket, a long red dress, and black boots, and carries a black purse.",
"resolution": "480p",
"turbo_mode": true,
"reverse_video": false
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
status=$(printf '%s' "$result" | jq -r .status)
case "$status" in completed|failed|timeout) break ;; esac
sleep 2
result=$(curl --fail-with-body --silent \
-H "Authorization: Bearer $SANDBASE_API_KEY" \
"https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"Choose your model
Compare models
| Model | Type | Default price | Released |
|---|---|---|---|
Wan-2.1 Text-to-Video with LoRAsThis model Alibaba | Video | $0.75 / run | Mar 25, 2025 |
Alibaba | Video | $1.40 / run | Oct 4, 2026 |
Alibaba | Video | $0.70 / run | Oct 4, 2026 |
Alibaba | Video | $1.00 / run | Oct 4, 2026 |
Alibaba | Video | $0.50 / run | Oct 4, 2026 |
Alibaba | Video | $0.70 / run | Aug 24, 2026 |
Questions
FAQ
How do I call Alibaba Wan-2.1 Text-to-Video with LoRAs through SandBase?
Create a SandBase API key, then send requests with the model ID "alibaba/wan/2.1/text-to-video/lora" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.
Do I need a separate Alibaba account?
No. One SandBase API key and balance gives you access to Alibaba Wan-2.1 Text-to-Video with LoRAs and the other models in the catalog; you do not need to sign up with Alibaba separately.