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SoteDiffusion

stability-ai/stable-cascade/sote-diffusion

Stable Cascade Sote Diffusion is Stability AI's advanced text-to-image AI model. Create photorealistic images, illustrations, and concept art from natural language descriptions with exceptional detail and prompt adherence.

Use in agentGet API key
Base price
$0.0006 / run
Execution
async
Model type
image
Input fields
7

Try the model

Playground

Open playground
Input
The prompt to use for generating the image. Be as descriptive as possible for best results.
The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.
The same seed and the same prompt given to the same version of Stable Cascade will output the same image every time.
424
Number of steps to run the second stage for. Range: 4 to 24.
450
Number of steps to run the first stage for. Range: 4 to 50.
020
The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. Range: 0 to 20.
020
Range: 0 to 20.
OutputReady

Your output will appear here

Complete the inputs, then click Run.

Specifications

Pricing

Base price
$0.0006 / 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
Stability AI
Model ID
stability-ai/stable-cascade/sote-diffusion
Execution
async
API
Unified Run API
Endpoint
/v1/run

API README

SoteDiffusion

SoteDiffusion occupies a clearly bounded position in a image production pipeline under the route stability-ai/stable-cascade/sote-diffusion. It is best evaluated as a named workflow endpoint rather than as a generic substitute for neighboring versions: planners can assign the route to a specific brief, record the chosen revision, and keep approval history tied to one predictable integration surface from intake through delivery.

A practical rollout of SoteDiffusion should begin with source-readiness checks, ownership of the submitted material, an agreed budget, and a written definition of the final sote diffusion deliverable. Before automation is enabled, the acceptance pass should verify that the returned asset opens correctly, fits the intended downstream toolchain, satisfies the project’s review criteria, and can be reproduced from the stored request and route identity stability-ai/stable-cascade/sote-diffusion.

Highlights

  • Distinct output behavior. For SoteDiffusion, for SoteDiffusion, set the opening stage between 4 and 50 steps In SoteDiffusion, this capability is applied through the exact stability-ai/stable-cascade/sote-diffusion workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route; the seed control exposes the corresponding choice in this route.
  • Creative control. For SoteDiffusion, for SoteDiffusion, allocate 4–24 steps to the second stage In SoteDiffusion, this capability is applied through the exact stability-ai/stable-cascade/sote-diffusion workflow with prompt as a relevant request control; the prompt control exposes the corresponding choice in this route; the prompt control exposes the corresponding choice in this route.
  • Workflow fit. For SoteDiffusion, for SoteDiffusion, tune general guidance and second-stage guidance independently In SoteDiffusion, this capability is applied through the exact stability-ai/stable-cascade/sote-diffusion workflow with aspect ratio as a relevant request control; the aspect ratio control exposes the corresponding choice in this route; the aspect ratio control exposes the corresponding choice in this route.
  • Production detail. For SoteDiffusion, for SoteDiffusion, choose one of ten aspect ratios for the generated image In SoteDiffusion, this capability is applied through the exact stability-ai/stable-cascade/sote-diffusion workflow with guidance scale as a relevant request control; the guidance scale control exposes the corresponding choice in this route; the guidance scale control exposes the corresponding choice in this route.

Pricing

ConfigurationPrice
Per request$0.000575

When to Use

ScenarioWhy this model fits
Choose SoteDiffusionUse it when the required deliverable is specifically the image result documented for stability-ai/stable-cascade/sote-diffusion.
Match the source materialSelect this route when your inputs naturally map to seed, prompt, aspect_ratio, guidance_scale.
Use its distinguishing capabilityFor SoteDiffusion, set the opening stage between 4 and 50 steps In SoteDiffusion, this capability is applied through the exact stability-ai/stable-cascade/sote-diffusion workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route
Plan repeatable productionFor SoteDiffusion, allocate 4–24 steps to the second stage In SoteDiffusion, this capability is applied through the exact stability-ai/stable-cascade/sote-diffusion workflow with prompt as a relevant request control; the prompt control exposes the corresponding choice in this route
Confirm cost and deliveryUse the pricing combinations below and the output contract above when budgeting or automating SoteDiffusion jobs.

Prompt Guide

Build the request around the exact stability-ai/stable-cascade/sote-diffusion schema. Start with required fields, then add only the controls needed for the intended output; keep URLs reachable and enum values exactly as shown in Technical Specs.

{
  "prompt": "newest, extremely aesthetic, best quality, 1girl, solo, pink hair, blue eyes, long hair, looking at viewer, smile, black background, holding a sign, the text on the sign says \"Hello\"",
  "seed": 0,
  "aspect_ratio": "21:9",
  "guidance_scale": 8
}

Technical Specs

SpecificationValue
Model IDstability-ai/stable-cascade/sote-diffusion
Execution modeasync
Required inputsprompt
Request fieldsseed (integer, optional); prompt (string, required); aspect_ratio (string, optional, options: 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16); guidance_scale (number, optional, min 0, max 20); first_stage_steps (integer, optional, min 4, max 50); second_stage_steps (integer, optional, min 4, max 24); second_stage_guidance_scale (number, optional, min 0, max 20)
Outputurl (string); content_type (string)

Related Models

Start building

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API
Endpoint
https://api.sandbase.ai/v1/run
Model ID
stability-ai/stable-cascade/sote-diffusion
# Preserve Unicode and shell metacharacters in the request body.
result=$(printf '%s' 'ewogICJtb2RlbCI6ICJzdGFiaWxpdHktYWkvc3RhYmxlLWNhc2NhZGUvc290ZS1kaWZmdXNpb24iLAogICJwcm9tcHQiOiAibmV3ZXN0LCBleHRyZW1lbHkgYWVzdGhldGljLCBiZXN0IHF1YWxpdHksIDFnaXJsLCBzb2xvLCBwaW5rIGhhaXIsIGJsdWUgZXllcywgbG9uZyBoYWlyLCBsb29raW5nIGF0IHZpZXdlciwgc21pbGUsIGJsYWNrIGJhY2tncm91bmQsIGhvbGRpbmcgYSBzaWduLCB0aGUgdGV4dCBvbiB0aGUgc2lnbiBzYXlzIFwiSGVsbG9cIiIsCiAgImd1aWRhbmNlX3NjYWxlIjogOCwKICAiZmlyc3Rfc3RhZ2Vfc3RlcHMiOiAyNSwKICAic2Vjb25kX3N0YWdlX3N0ZXBzIjogMTAsCiAgInNlY29uZF9zdGFnZV9ndWlkYW5jZV9zY2FsZSI6IDIKfQ==' \
  | base64 --decode \
  | curl --fail-with-body --silent \
      -X POST "https://api.sandbase.ai/v1/run" \
      -H "Authorization: Bearer $SANDBASE_API_KEY" \
      -H "Content-Type: application/json" \
      --data-binary @-)
run_id=$(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"

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