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GENERATION API CALLS
Image Model Generation
Scenario

Scenario

This page is auto-generated from model configurations. Last updated: 2026-09-01.

This reference lists all available Scenario image generation models and their parameters. Use these parameter names when calling the Generation API.

3D Color LUT

Section titled “3D Color LUT”

Model ID: model_scenario-postprocessing-lut

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-lut/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
lutStyle string No teal_orange - - teal_orange, kodak_portra, fuji_velvia, bleach_bypass, matrix_green, cgc_film_emulation_agfa_portrait_xps_160, cgc_film_emulation_fuji_astia_100f, cgc_film_emulation_fuji_eterna_3513, cgc_film_emulation_fuji_eterna_8563, cgc_film_emulation_fuji_provia_100f, cgc_film_emulation_fuji_sensia_100, cgc_film_emulation_fuji_superia_xtra_400, cgc_film_emulation_fuji_vivid_8543, cgc_film_emulation_kodak_ektachrome_64, cgc_film_emulation_kodak_professional_portra_400, cgc_film_emulation_kodak_vision_2383, cgc_film_emulation_lpp_tetrachrome_400, cgc_film_emulation_polaroid_600, cgc_log_to_rec709_alexa_logc, cgc_log_to_rec709_blackmagic_4.6k_film, cgc_log_to_rec709_blackmagic_4k_film, cgc_log_to_rec709_blackmagic_cinema_camera_film, cgc_log_to_rec709_canon_log, cgc_log_to_rec709_canon_log2, cgc_log_to_rec709_canon_log3, cgc_log_to_rec709_cinelike_d, cgc_log_to_rec709_cinestyle_s_curve, cgc_log_to_rec709_dji_inspire, cgc_log_to_rec709_gopro_protune, cgc_log_to_rec709_panasonic_v, cgc_log_to_rec709_redlogfilm, cgc_log_to_rec709_redwidegamut_log3g10, cgc_log_to_rec709_sony_slog2, cgc_log_to_rec709_sony_slog3_cine, cgc_log_to_rec709_sony_slog3, cgc_look_3strip, cgc_look_70s, cgc_look_amelie, cgc_look_aviator, cgc_look_blade_runner, cgc_look_bleach, cgc_look_brooklyn, cgc_look_celadon, cgc_look_chamoisee, cgc_look_cubanismo, cgc_look_drive, cgc_look_duotone, cgc_look_emulsion, cgc_look_enemy, cgc_look_enhance, cgc_look_fashion, cgc_look_glacier, cgc_look_godfather, cgc_look_grand_budapest, cgc_look_grime, cgc_look_grit, cgc_look_hannibal, cgc_look_her, cgc_look_mad_max, cgc_look_matrix_v1, cgc_look_matrix_v2, cgc_look_mint, cgc_look_moonrise_kingdom, cgc_look_ochre, cgc_look_punch, cgc_look_revenant, cgc_look_rhythm, cgc_look_seven, cgc_look_spy, cgc_look_stranger_things, cgc_look_summer, cgc_look_teal and orange, cgc_look_thriller, cgc_look_vinteo, cgc_look_wonder_woman, distant_land_basin, distant_land_boulder, distant_land_butte, distant_land_everest, distant_land_hopkins, distant_land_lochness, distant_land_oaxaca, distant_land_oslo, distant_land_phoenix, distant_land_pocatello, distant_land_prague, distant_land_reykjavik, distant_land_santafe, distant_land_seattle, distant_land_stillwater, distant_land_tahoe, distant_land_thames, pond5_arabica_12, pond5_ava_614, pond5_azrael_93, pond5_bourbon_64, pond5_byers_11, pond5_celluloid_01_fu_low, pond5_chemical_168, pond5_clayton_33, pond5_clouseau_54, pond5_cobi_3, pond5_contrail_35, pond5_cubicle_99, pond5_django_25, pond5_domingo_145, pond5_faded_47, pond5_folger_50, pond5_fusion_88, pond5_hyla_68, pond5_korben_214, pond5_lenox_340, pond5_lucky_64, pond5_mckinnon_75, pond5_milo_5, pond5_neon_770, pond5_paladin_1875, pond5_pasadena_21, pond5_pitaya_15, pond5_reeve_38, pond5_remy_24, pond5_sprocket_231, pond5_teigen_28, pond5_trent_18, pond5_tweed_71, pond5_vireo_37, pond5_zed_32, pond5_zeke_39, rec709_fujifilm_3510_d65, rec709_kodak_2383_d65, rec709_kodak_2393_d65, shutterstock_blue_architecture, shutterstock_blue_hour, shutterstock_cold_chrome, shutterstock_crisp_autumn, shutterstock_dark_and_somber, shutterstock_hard_boost, shutterstock_long_beach_morning, shutterstock_lush_green, shutterstock_magic_hour, shutterstock_natural_boost, shutterstock_orange_and_blue, shutterstock_soft_black_and_white, shutterstock_waves Style of grading to apply.
lutIntensity number No 1 0 1 - Opacity of the LUT effect.

Blur

Section titled “Blur”

Model ID: model_scenario-postprocessing-blur

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-blur/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
blurType string No gaussian - - gaussian, kuwahara Type of blur to apply.
blurRadius number No 3 0 31 - Blur radius.
blurSigma number No 1 0.1 10 - Sigma for Gaussian blur.

Chromatic Aberration

Section titled “Chromatic Aberration”

Model ID: model_scenario-postprocessing-chromatic

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-chromatic/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
redShift number No 0 -20 20 - Red channel shift amount.
greenShift number No 0 -20 20 - Green channel shift amount.
blueShift number No 0 -20 20 - Blue channel shift amount.
redDirection string No horizontal - - horizontal, vertical Red channel shift direction.
greenDirection string No horizontal - - horizontal, vertical Green channel shift direction.
blueDirection string No horizontal - - horizontal, vertical Blue channel shift direction.

Color Correction

Section titled “Color Correction”

Model ID: model_scenario-postprocessing-color-correction

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-color-correction/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
temperature number No 0 -100 100 - Color temperature adjustment (-100 to 100).
brightness number No 0 -100 100 - Brightness adjustment (-100 to 100).
contrast number No 0 -100 100 - Contrast adjustment (-100 to 100).
saturation number No 0 -100 100 - Saturation adjustment (-100 to 100).
gamma number No 1 0.2 2.2 - Gamma adjustment (0.2-2.2).
exposure number No 0 -5 5 - Exposure adjustment (-5.0 to 5.0).
shadows number No 0 -100 100 - Shadows adjustment (-100 to 100).
highlights number No 0 -100 100 - Highlights adjustment (-100 to 100).
shadowsHighlightsRadius number No 50 0 100 - Shadows/Highlights radius (0 to 100).

Crystallize

Section titled “Crystallize”

Model ID: model_scenario-postprocessing-crystallize

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-crystallize/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
crystallizeRadius number No 10 1 100 - Approximate size/number of the superpixel regions.

Cubism

Section titled “Cubism”

Model ID: model_scenario-postprocessing-cubism

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-cubism/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
cubismTileSize number No 20 1 100 - Average tile size.
cubismTileSaturation number No 2.5 0 10 - Tile saturation (expansion factor).

Desaturate

Section titled “Desaturate”

Model ID: model_scenario-postprocessing-desaturate

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-desaturate/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
desaturateMethod string No luminance (Rec.709) - - average, luminance (Rec.709), luminance (Rec.601), lightness Desaturation method.
desaturateFactor number No 1 0 1 - Desaturation factor.

Dissolve

Section titled “Dissolve”

Model ID: model_scenario-postprocessing-dissolve

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-dissolve/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
dissolveImage file No - - - - Image to dissolve with.
dissolveFactor number No 0.5 0 1 - Dissolve blend factor.

Dodge & Burn

Section titled “Dodge & Burn”

Model ID: model_scenario-postprocessing-dodge-burn

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-dodge-burn/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
dodgeBurnMode string No dodge - - dodge, burn, dodge_and_burn, burn_and_dodge, color_dodge, color_burn, linear_dodge, linear_burn Dodge/Burn mode.
dodgeBurnIntensity number No 0.5 0 1 - Dodge/Burn intensity.

Glow & Bloom

Section titled “Glow & Bloom”

Model ID: model_scenario-postprocessing-glow

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-glow/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
glowRadius number No 5 1 50 - Glow blur radius.
glowIntensity number No 1 0 5 - Glow intensity.

Grain

Section titled “Grain”

Model ID: model_scenario-postprocessing-grain

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-grain/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
grainProfile string No kodak_portra_400 - - cine_still_800t, fuji_pro_400h, fuji_provia_100f, fuji_superia_400, fuji_velvia_50, ilford_hp5_plus, kodak_ektachrome_e100, kodak_ektar_100, kodak_gold_200, kodak_portra_400, kodak_tri_x_400, lomography_color_negative_400, modern, analog, cinematic, newspaper, vintage, bleach_bypass, infrared_bw, night_vision, sepia, old_fashion Film grain profile to use. Determines grain, color distribution, etc.
grainColorTemp number No 6500 2000 10000 - Color temperature adjustment for grain.
crossProcess boolean No false - - - Enable cross-processing effect.

HDRi Skybox

Section titled “HDRi Skybox”

Convert a standard skybox image into a high-dynamic-range HDRi environment for realistic 3D lighting, with EXR, HDR, and cubemap outputs.

Model ID: model_hdri-skybox

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_hdri-skybox/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - The standard (low-dynamic-range) skybox image you want to convert into an HDRi environment.
outputExr boolean No true - - - Saves the result as an OpenEXR file (.exr) - a high-dynamic-range format widely used in 3D and VFX software.
outputHdr boolean No true - - - Saves the result as a Radiance HDR file (.hdr) - a common high-dynamic-range format for environment lighting.
conversionCubemapCross boolean No false - - - Also outputs a cubemap in “cross” layout: the six faces of the environment unfolded into a single cross-shaped image. Applies to the input and all generated outputs.
conversionCubemapFaces boolean No false - - - Also outputs a cubemap as six separate square face images. Applies to the input and all generated outputs.

Oilify

Section titled “Oilify”

Model ID: model_scenario-postprocessing-oilify

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-oilify/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
oilifyRadius number No 4 1 50 - Radius of the oil painting effect (neighborhood size).
oilifyIntensity number No 1 1 20 - Dynamic ratio of the oil painting effect (degree of abstraction).

Parabolize

Section titled “Parabolize”

Model ID: model_scenario-postprocessing-parabolize

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-parabolize/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
parabolizeCoeff number No 1 -10 10 - Parabolize coefficient.
vertexX number No 0.5 0 1 - Vertex X position.
vertexY number No 0.5 0 1 - Vertex Y position.

Pixelate

Section titled “Pixelate”

Classic pixel art effect: downscale-upscale with color correction and optional palette quantization.

Model ID: model_sc-pixelate

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_sc-pixelate/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - The image you want to turn into pixel art.
pixelGridSize number No 64 1 512 - How many pixels across the output pixel art is. Larger values keep more detail; smaller values make bigger, blockier pixels.
removeNoise boolean No false - - - Smooths out specks and grain before pixelating, for a cleaner result. Helpful for noisy or low-quality images.
colorPalette string_array No - - - - An optional custom set of colors as hex strings (for example, [“#000000”, “#FFFFFF”]). When set, the image is redrawn using only these colors.
colorPaletteSize number No - 2 256 - Reduces the image to this many colors (2–256) for a retro look. Used only when no custom palette is provided.

Posterize

Section titled “Posterize”

Model ID: model_scenario-postprocessing-posterize

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-posterize/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
posterizeThreshold number No 0.5 0 1 - Posterize threshold.

Scenario Compose Image

Section titled “Scenario Compose Image”

Compose multiple images into a single image with layers, transforms, effects, and blending modes.

Model ID: model_scenario-compose-image

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-compose-image/markdown

Parameter Type Required Default Min Max Allowed Values Description
layers inputs_array Yes - - - - Array of image layers to compose
canvasMode string No auto - - auto, custom Canvas size mode. ‘auto’ computes from layers, ‘custom’ uses specified dimensions.
canvasWidth number No - 1 7680 - Output canvas width in pixels (required when canvas_mode=‘custom’)
canvasHeight number No - 1 4320 - Output canvas height in pixels (required when canvas_mode=‘custom’)
backgroundColor string No #000000 - - - Canvas background color (hex format #RRGGBB) or ‘transparent’
imageOutputFormat string No png - - png, jpg, webp Output image format
imageQuality number No 95 1 100 - Image quality for lossy formats (jpg, webp). 1-100, higher is better. For jpg this maps onto ffmpeg’s mjpeg scale, whose best setting is reached at 94, so 94-100 all produce the same file.

Scenario Detection

Section titled “Scenario Detection”

Run ControlNet-style detection maps: Canny, depth, grayscale, line art, MLSD, normal, pose, scribble, segmentation, sketch, and more.

Model ID: model_scenario-detection

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-detection/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
modality string Yes canny - - canny, depth, grayscale, lineart_anime, mlsd, normal, pose, scribble, segmentation, sketch Map / detector to run
lowThreshold number No 100 0 255 - Low threshold for Canny edge detector (hysteresis).
highThreshold number No 200 0 255 - High threshold for Canny edge detector (hysteresis).
factor number No 5 0 - - Contrast factor for the grayscale detector.
thresholdMin number No 10 0 100 - Minimum threshold for grayscale conversion.
thresholdMax number No 90 0 100 - Maximum threshold for grayscale conversion.
removeBackground boolean No true - - - Remove background before grayscale processing.
keypointThreshold number No 0.3 0 1 - Score threshold for pose keypoint detection (0–1).

Scenario Gemini Reframe

Section titled “Scenario Gemini Reframe”

Model ID: model_scenario-gemini-reframe

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-gemini-reframe/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
prompt string No - - - - User prompt for image expansion
aspectRatio string No auto - - 21:9, 16:9, 4:3, 3:2, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16, auto Aspect ratio for the output canvas
resolution string No 2K - - 1K, 2K, 4K Resolution for the output (1K, 2K, 4K)
xStart number No - 0 - - Top-left x coordinate for crop bounds (in original image pixels)
yStart number No - 0 - - Top-left y coordinate for crop bounds (in original image pixels)
xEnd number No - 0 - - Bottom-right x coordinate for crop bounds (in original image pixels)
yEnd number No - 0 - - Bottom-right y coordinate for crop bounds (in original image pixels)
resizedWidth number No - 1 - - Width of source image after scaling (in output canvas pixels)
resizedHeight number No - 1 - - Height of source image after scaling (in output canvas pixels)
gridPositionX number No - 0 - - Grid offset x for image position (exclusive with position)
gridPositionY number No - 0 - - Grid offset y for image position (exclusive with position)
position string No center - - center, top, bottom, center-left, center-right, top-left, top-right, bottom-left, bottom-right Position enum (exclusive with grid_position): center, top, bottom, center-left, center-right, top-left, top-right, bottom-left, bottom-right
seed number No - 0 2147483647 - Seed for Gemini generation

Scenario Grid Maker

Section titled “Scenario Grid Maker”

Model ID: model_scenario-grid-maker

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-grid-maker/markdown

Parameter Type Required Default Min Max Allowed Values Description
images file_array Yes - - - - List of images to arrange in a grid
columns number No 3 1 20 - Number of columns in the grid
rows number No - 1 20 - Number of rows in the grid. If not set, computed from images count and columns
padding number No 0 0 50 - Padding between images in pixels
backgroundColor string No white - - - Background color: hex string, ‘transparent’, ‘black’ or ‘white’
cellRatio string No auto - - 9:16, 2:3, 3:4, 1:1, 5:4, 4:3, 3:2, 16:9, 21:9, auto Cell aspect ratio

Scenario Image Layers Extractor

Section titled “Scenario Image Layers Extractor”

Automatically splits a picture into separate, editable layers — the foreground objects plus a clean filled-in background — so you can move or edit each part on its own.

Model ID: model_scenario-image-layers-extractor

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-image-layers-extractor/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - The image you want to separate into layers.
separationInstruction string Yes - - - - Tell the tool how to divide the image — describe the objects or the rule for splitting them, not the scene itself. For example: ‘isolate the main subject’, ‘extract every object on the table’, or ‘separate each person from their clothes’.
maxLayers number No 6 1 10 - The most layers the tool will produce. It may stop sooner if it decides nothing else is worth separating, or if it can’t find the objects you described. More layers means a higher cost. The result will be your layers + the background.
inpaintModel string No gpt-image-2 - - flux2-klein-9b, flux2-dev, gpt-image-2 After each layer is cut out it leaves a hole in the background; this picks the AI that fills those holes back in. FLUX.2 Klein 9b is the fastest, FLUX.2 Dev is slower but higher quality, and GPT Image 2 uses OpenAI’s model. This affects the cost.
inpaintPrompt string No - - - - Optional extra guidance for filling in the background holes — e.g. a note about what the background should look like. Leave blank to use the default.

Scenario Image Slicer

Section titled “Scenario Image Slicer”

Model ID: model_scenario-image-slicer

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-image-slicer/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Image to slice
xSubdivisions number No 2 1 6 - Number of subdivisions along the X axis
ySubdivisions number No 2 1 6 - Number of subdivisions along the Y axis

Scenario Image to Mask

Section titled “Scenario Image to Mask”

Convert an image to a single-channel grayscale mask (white = visible, black = transparent).

Model ID: model_scenario-convert-to-mask-image

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-convert-to-mask-image/markdown

Parameter Type Required Default Min Max Allowed Values Description
file file Yes - - - - Image to convert into a mask
sourceChannel string No auto - - auto, alpha, luminance Which source channel to use as the mask. ‘auto’ picks alpha when the input has a non-trivial alpha channel, otherwise falls back to luminance. ‘alpha’ requires an image with an alpha channel. ‘luminance’ converts RGB to grayscale.
threshold number No - 0 255 - Optional binarization threshold (0-255). When set, pixels >= threshold become 255 and pixels < threshold become 0. Leave empty to keep the continuous mask.
invert boolean No false - - - Invert the mask (255 - value). Useful when the source is darker for ‘keep’.

Scenario Padding Remover

Section titled “Scenario Padding Remover”

Automatically detects and removes uniform color borders/padding from images and videos.

Model ID: model_scenario-padding-remover

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-padding-remover/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Image to remove padding from
color string No - - - - Hex color of the border to remove (e.g., ‘FFFFFF’ or ‘#FFFFFF’). If not specified, the color is auto-detected from the image corners.
colorTolerance number No 0.4 0 1 - Color matching tolerance as a percentage (0.0-1.0). Higher values match more similar colors.
width number No - 0 - - Width of the border to remove on all sides (in pixels). If not set, the border width is auto-detected.

Scenario Resize Image

Section titled “Scenario Resize Image”

Resize an image to a specified width and height or a maximum size by fitting, stretching or cropping to the box.

Model ID: model_scenario-resize-image

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-resize-image/markdown

Parameter Type Required Default Min Max Allowed Values Description
images file_array Yes - - - - Images to resize
width number No - 1 - - Target width in pixels. If only width is specified, height is calculated to preserve aspect ratio.
height number No - 1 - - Target height in pixels. If only height is specified, width is calculated to preserve aspect ratio.
maxSizeMb number No - 0.1 - - Maximum output file size in megabytes. The file will be resized iteratively to meet this constraint while preserving aspect ratio.
fit string No contain - - contain, stretch, cover How to fit the media into the width x height box when both are given. Contain: fit inside the box without cropping (the output may be smaller than the box). Stretch: exact dimensions, the picture is distorted. Cover: fill the box and center-crop the overflow (exact dimensions, no distortion).

Scenario Skybox GPT

Section titled “Scenario Skybox GPT”

Generates an equirectangular skybox from a text prompt, optionally erasing the left/right seam so it tiles horizontally.

Model ID: model_scenario-skybox-gpt

Capabilities: txt2img, img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-skybox-gpt/markdown

Parameter Type Required Default Min Max Allowed Values Description
prompt string Yes - - - - Describe the scene you want to see all around you — a mountain pass at dusk, a cathedral interior, an alien landscape. The model automatically formats your prompt to produce a seamless 360° panorama.
referenceImages file_array No - - - - Upload one or more images to guide the style, mood, or content of the skybox. The model draws inspiration from them while still following your prompt. Up to 10 images accepted.
width number No 2048 16 3840 - Width of the generated panorama in pixels, must be a multiple of 16. A 2:1 width-to-height ratio is recommended for correct 360° viewing.
height number No 1024 16 3840 - Height of the generated panorama in pixels, must be a multiple of 16. A 2:1 width-to-height ratio is recommended for correct 360° viewing.
quality string No high - - auto, high, medium, low Controls the detail and generation time of the output. High produces the best results; Medium and Low are faster and more cost-efficient. Auto lets the model decide based on your input.

Scenario Smart Reframe

Section titled “Scenario Smart Reframe”

AI-powered recomposition + outpainting that reframes any image to exact (width, height) while preserving art style, subject identity, on-image text, brand assets, camera angle, color palette, and design language. Two-call pipeline kicks in when the target aspect ratio is non-native.

Model ID: model_scenario-smart-reframe

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-smart-reframe/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Source image to reframe.
width number Yes 1280 64 6336 - Target output width in pixels. Combined with height, the pixel budget must not exceed the underlying renderer’s per-aspect-ratio 4K capacity (max ~17M pixels). Targets too far from any supported aspect ratio (gap > 50%) are rejected.
height number Yes 720 64 5504 - Target output height in pixels. See width for combined constraints.
prompt string No - - - - Optional art-direction hint folded into the recomposition prompt.
textDensity string No SPARSE - - SPARSE, DENSE On-image text density of the source. SPARSE (default) routes to a single-stage art-direction pipeline for hero shots, character ads, and simple banners (logo + tagline). DENSE adds a structured layout-decomposition step for product infographics, dashboards, and multi-zone layouts packed with text blocks; substantially higher cost.
numOutputs number No 1 1 8 - Number of output variants per request. Shared art-direction stages run once and only the render stage repeats per variant.
thinkingLevel string No HIGH - - HIGH, MINIMAL Reasoning budget applied to the art-direction LLM calls. HIGH (default) gives more reasoning capacity per call; MINIMAL is cheaper and faster, with the biggest savings in DENSE mode (the decomposition step is the main swing factor).

Scenario Texture

Section titled “Scenario Texture”

Generates a tileable texture from a text prompt, optionally erasing both the left/right and top/bottom seams so it tiles in 2D.

Model ID: model_scenario-texture

Capabilities: txt2img, img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-texture/markdown

Parameter Type Required Default Min Max Allowed Values Description
prompt string Yes - - - - Text description of the desired texture. A tileable-top-down hint is appended automatically so the generator aims for seam-continuous output.
referenceImages file_array No - - - - Optional reference images passed to gpt-image-2 edit mode. When present, the prompt is rewrapped to tell the model to draw inspiration from the attached image(s).
width number No 1024 16 3840 - Output width in pixels. Must be a multiple of 16.
height number No 1024 16 3840 - Output height in pixels. Must be a multiple of 16.
quality string No high - - auto, high, medium, low Generation quality.
eraseSeam boolean No false - - - When enabled, the generated image is piped to remove both the left/right and top/bottom discontinuities.
overlap number No 128 16 1024 - Half-width (in pixels) of the inpainting band centered on each seam. Only used when Erase Seam is enabled.
featherRadius number No 64 0 1024 - Width (in pixels) of the outward linear blend ring around the inpainting band. 0 disables feathering (hard edge). Only used when Erase Seam is enabled.

Scenario Texture Converter

Section titled “Scenario Texture Converter”

Converts an image texture to PBR texture maps (height, normal, smoothness, metallic, edge, AO).

Model ID: model_sc-texture-converter

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_sc-texture-converter/markdown

Parameter Type Required Default Min Max Allowed Values Description
texture file Yes - - - - Image to convert
raised number No 0.5 0 1 - How raised is the surface? 0 is flat like water, 1 is like a very rough rock
shiny number No 0.5 0 1 - How shiny is the surface? 0 is like a matte surface, 1 is like a diamond
polished number No 0.5 0 1 - How polished is the surface? 0 is like a rough surface, 1 is like a mirror
angular number No 0.5 0 1 - How angular is the surface? 0 is like a sphere, 1 is like a mechanical object
invert boolean No false - - - Invert the relief
defaultParameters boolean No false - - - If true, use the default parameters

Sharpen

Section titled “Sharpen”

Model ID: model_scenario-postprocessing-sharpen

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-sharpen/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
sharpenMode string No basic - - basic, smart, cas Type of sharpening to apply.
preserveEdges number No 0.75 0 1 - Edge preservation factor.
sharpenRadius number No 1 1 15 - Sharpen radius (for basic mode).
sharpenAlpha number No 1 0.1 5 - Sharpen strength (for basic mode).
smartSharpenStrength number No 5 0 25 - Smart sharpen strength.
smartSharpenRatio number No 0.5 0 1 - Smart sharpen blend ratio.
noiseRadius number No 7 1 25 - Noise radius for smart sharpen.
casAmount number No 0.8 0 1 - CAS sharpening amount.

Solarize

Section titled “Solarize”

Model ID: model_scenario-postprocessing-solarize

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-solarize/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
solarizeThreshold number No 0.5 0 1 - Solarize threshold.

Tint

Section titled “Tint”

Model ID: model_scenario-postprocessing-tint

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-tint/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
tintMode string No sepia - - sepia, red, green, blue, cyan, magenta, yellow, purple, orange, warm, cool, lime, navy, vintage, rose, teal, maroon, peach, lavender, olive Tint color mode.
tintStrength number No 1 0.1 1 - Tint strength.

Vignette

Section titled “Vignette”

Model ID: model_scenario-postprocessing-vignette

Capabilities: img2img

LLM Markdown: https://app.scenario.com/api/models/model_scenario-postprocessing-vignette/markdown

Parameter Type Required Default Min Max Allowed Values Description
image file Yes - - - - Input image
vignetteStrength number No 0.5 0 1 - Vignette strength.