reve-2-1 API Usage Guide
Overview
reve-2-1 is Reve AI’s unified v2 image model. A single endpoint covers text-to-image generation, single-image editing, and multi-image remixing — which workflow runs is determined by how many reference images are included in the request. Output resolution is significantly higher than Reve’s prior v1 models, and every response includes a structured layout describing the generated regions.Authentication
Submit Image Generation Request
Endpoint
Request Format — text-to-image (no reference images)
Request Format — single-image edit
Pass one URL inreference_image. The prompt is treated as a plain edit instruction — no special syntax needed.
Request Format — multi-image remix
Pass 2-8 URLs inreference_images. Reference each one from the prompt by position, 0-based: <frame>0</frame>, <frame>1</frame>, etc.
Request Parameters
Postprocessing
payload.postprocessing is a list of operations, applied in order:
{"process": "upscale", "upscale_factor": 2}— factor 1-4{"process": "remove_background"}— makes the background transparent{"process": "fit_image", "max_dim": 512}— resize to fit (usemax_dim,max_width, ormax_height); no extra cost{"process": "effect", "effect_name": "grain"}— apply a named effect preset configured in the Reve app
fit_image add a small amount of extra credit cost.
Response
Pricing
Reve bills in credits, not tokens or time. Verified 2026-07-14 by measuring the live API directly: text-to-image, single-image edit, and multi-image remix all consume the same flat 150 credits per call.postprocessing and test_time_scaling add credits on top of that baseline.
Credit Pricing
Conversion rate: ~1333.33 micro-USD per credit, so the 150-credit baseline is **10/7500 credits ≈ 0.20/image).