Z-Image Turbo Edit LoRA
alibaba/z-image/turbo/edit/loraZ Image Turbo Edit is Alibaba's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.
- Base price
- $0.0085USD / run
- Execution
- async
- Model type
- image
- Input fields
- 7
Try the model
Playground
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Your output will appear here
Complete the inputs, then click Run.
Model card
Specifications
Pricing
- Base price
- $0.0085 / run
Context & modalities
- Input
- Schema-defined
- Output
- image
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/z-image/turbo/edit/lora
- Execution
- async
- Base URL
- https://api.sandbase.ai
- API
- Unified Run API
- Endpoint
- /v1/run
API README
Z-Image Turbo Edit LoRA
Z-Image Turbo Edit LoRA Z-Image Turbo Edit LoRA uses Z-Image Turbo to revise supplied imagery from natural-language direction. The attached low-rank adaptation introduces a specialized aesthetic, subject, or production concept without replacing the underlying image model.
State the requested change and separately list the source identity, composition, and details that must remain stable. Include the adaptation’s learned concept naturally inside the brief so it interacts with the complete composition.
Highlights
- Z-Image Turbo Edit LoRA Fast semantic image editing. Applies natural-language changes to objects, setting, style, and composition.
- Z-Image Turbo Edit LoRA Source-detail retention. Keeps unrequested identity and layout connected to the original image.
- Z-Image Turbo Edit LoRA Context-aware reconstruction. Matches new content to existing perspective, texture, and illumination.
- Z-Image Turbo Edit LoRA Rapid revision cycles. Enables multiple creative edits through the Turbo generation path. A LoRA adds a learned style, subject, or domain concept to this behavior.
Pricing
| Billing unit | Price |
|---|---|
| Per request | $0.0085 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The model's named workflow matches the source material and intended output | A different input modality or model route is required |
| A managed asynchronous result is suitable for the production pipeline | A synchronous, interactive editor is essential |
| The documented controls cover the required duration, framing, or format | The project needs controls outside this endpoint's schema |
| Creative iteration benefits from a repeatable request structure | Exact deterministic pixels, frames, geometry, or samples are mandatory |
| A finished downloadable media asset is the desired deliverable | Editable source layers or a native project file are required |
Prompt Guide
For image-conditioned generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.
{
"aspect_ratio": "21:9",
"image": "https://example.com/start-frame.png",
"output_format": "png",
"prompt": "A young Asian woman with long, vibrant purple hair stands on a sunlit sandy beach, posing confidently with her left hand resting on her hip. She gazes directly at the camera with a neutral expression. A sleek black ribbon bow is tied neatly on the right side of her head, just above her ear. She wears a flowing white cotton dress with a fitted bodice and a flared skirt that reaches mid-calf, slightly lifted by a gentle sea breeze. The beach behind her features fine, pale golden sand with subtle footprints, leading to calm turquoise waves under a clear blue sky with soft, wispy clouds. The lighting is natural daylight, casting soft shadows to her left, indicating late afternoon sun. The horizon line is visible in the background, with a faint silhouette of distant dunes. Her skin tone is fair with a natural glow, and her facial features are delicately defined. The composition is centered on her figure, framed from mid-thigh up, with shallow depth of field blurring the distant waves slightly."
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/z-image/turbo/edit/lora |
| Inputs | aspect_ratio, image, loras, output_format, prompt, seed, strength |
| Required inputs | prompt, image |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |
| Aspect Ratio | 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 |
| Output Format | jpeg / png |
Related Models
alibaba/z-image/turbo/edit— Compare this concrete local family route.alibaba/z-image/turbo— Compare this concrete local family route.alibaba/z-image/turbo/inpaint— Compare this concrete local family route.
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 $SANDBASE_API_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'SANDBASE_JSON'
{
"model": "alibaba/z-image/turbo/edit/lora",
"image": "https://static.sandbase.ai/examples/alibaba/z-image/turbo/edit/lora/input_image_0.png",
"loras": [],
"prompt": "A young Asian woman with long, vibrant purple hair stands on a sunlit sandy beach, posing confidently with her left hand resting on her hip. She gazes directly at the camera with a neutral expression. A sleek black ribbon bow is tied neatly on the right side of her head, just above her ear. She wears a flowing white cotton dress with a fitted bodice and a flared skirt that reaches mid-calf, slightly lifted by a gentle sea breeze. The beach behind her features fine, pale golden sand with subtle footprints, leading to calm turquoise waves under a clear blue sky with soft, wispy clouds. The lighting is natural daylight, casting soft shadows to her left, indicating late afternoon sun. The horizon line is visible in the background, with a faint silhouette of distant dunes. Her skin tone is fair with a natural glow, and her facial features are delicately defined. The composition is centered on her figure, framed from mid-thigh up, with shallow depth of field blurring the distant waves slightly.",
"strength": 0.6,
"output_format": "png"
}
SANDBASE_JSON
)
run_id=$(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 |
|---|---|---|---|
Z-Image Turbo Edit LoRAThis model Alibaba | Image | $0.01 / run | Dec 7, 2025 |
Alibaba | Image | $0.04 / run | Jul 21, 2026 |
Alibaba | Image | $0.04 / run | Jul 21, 2026 |
Alibaba | Image | $0.07 / run | Apr 1, 2026 |
Alibaba | Image | $0.03 / run | Apr 1, 2026 |
Alibaba | Image | $0.03 / run | Apr 1, 2026 |
Questions
FAQ
How do I call Alibaba Z-Image Turbo Edit LoRA through SandBase?
Create a SandBase API key, then send requests with the model ID "alibaba/z-image/turbo/edit/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 Z-Image Turbo Edit LoRA and the other models in the catalog; you do not need to sign up with Alibaba separately.