Vidu Reference To Image Q2

Vidu Reference To Image Q2

Playground

Vidu Reference-to-Image Q2 generates high-quality images based on reference images with customizable prompts. Supports 1-7 reference images with flexible aspect ratios and resolution options. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

vidu/reference-to-image-q2 — High-res reference-guided image generation

vidu/reference-to-image-q2 is the reference-guided sibling of vidu’s text-to-image model. It takes one or more reference images (up to 7) plus a prompt, and generates new, high-resolution images that keep the subject and composition while adjusting style, lighting, or scene details.

What it’s good for

• Keeping product, character, or actor identity consistent across many shots
• Creating new scenes from a small set of reference stills or keyframes
• Generating campaign variations while locking in pose, outfit, or layout
• Up-res, clean re-renders of storyboard / concept frames with cinematic quality

Key features

• Up to 7 reference images

Upload 1–7 images in images to steer identity, pose, outfit, or composition. The model blends information across them while following your text prompt.

• Cinematic aspect ratios

aspect_ratio supports:

• 1:1, 4:3, 3:4, 2:3, 3:2 – square and classic photo ratios
• 16:9, 21:9 – widescreen and banner formats
• 9:16 – vertical / mobile content
• auto – let the model choose a ratio that best matches the references + prompt

• High resolutions (1080p → 4K)

resolution lets you pick:

• 1080p – fast preview / web use
• 2K – more detail and better crop flexibility
• 4K – maximum sharpness for key visuals and print-adjacent work

• Prompt-driven control

Combine references with a rich prompt (“dramatic studio lighting, cinematic close-up, 85mm lens, shallow depth of field”) to re-style while keeping the same subject.

• Seed-based reproducibility

seed set to -1 gives random variation; using a fixed integer lets you rerun the same combination of prompt + references for consistent outputs.

How to use (Playground)

1. prompt* – Describe what you want to change or keep: style, lighting, mood, background, camera angle, etc.
2. images* – Click “Add Item” and upload 1–7 reference images (subject, pose, layout, or mood).
3. aspect_ratio – Choose a ratio, or leave as auto and let the model decide.
4. resolution – Select 1080p, 2K, or 4K depending on detail vs. speed needs.
5. seed – Use -1 for randomness or a fixed integer for reproducible results.
6. Run the job, inspect the result, then iterate on prompt / references as needed.

Pricing

Pricing depends on resolution and how many reference images you use. Base rate is $0.04 per 1k compute units, applied via the internal formula:

Up to 3 reference images (1–3 refs)

4–7 reference images

Tips for best quality

• Use clean, well-lit reference images; avoid heavy motion blur or extreme compression.
• Keep references stylistically consistent when possible (similar lighting / medium).
• In the prompt, clearly state both what must stay the same (“same person and outfit”) and what should change (“different background, golden-hour lighting”).
• For hero shots, generate at 2K or 4K, then downscale slightly for extra sharpness.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/vidu/reference-to-image-q2" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "auto",
    "resolution": "1080p",
    "seed": -1
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"