Stable Diffusion v1.5

Name: Stable Diffusion v1.5
Author: Stability AI

stability-ai/stable-diffusion-v15

Stable Diffusion V15 by Stability AI - generate stunning images from text prompts with state-of-the-art AI. Supports multiple aspect ratios, styles, and high-resolution output for creative and commercial use.

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Base price: $0.0013 / run
Execution: async
Model type: image
Input fields: 11

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Playground

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Input

Prompt(string)

The prompt to use for generating the image. Be as descriptive as possible for best results.

Aspect Ratio(string)

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.

Guidance scale (CFG)(number)

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.

Num Inference Steps(integer)

150

The number of inference steps to perform. Range: 1 to 50.

Seed(integer)

The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time.

Loras(array)

The list of LoRA weights to use.

Embeddings(array)

The list of embeddings to use.

Safety Checker Version(string)

The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model. Allowed values: v1, v2.

Expand Prompt(boolean)

If set to true, the prompt will be expanded with additional prompts.

Request Id(string)

An id bound to a request, can be used with response to identify the request itself.

Format(string)

The format of the generated image. Allowed values: jpeg, png.

OutputReady

Your output will appear here

Complete the inputs, then click Run.

Specifications

Pricing

Base price: $0.0013 / 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-diffusion-v15
Execution: async
API: Unified Run API
Endpoint: /v1/run

API README

Stable Diffusion v1.5

Stable Diffusion v1.5 occupies a clearly bounded position in a image production pipeline under the route stability-ai/stable-diffusion-v15. 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 Stable Diffusion v1.5 should begin with source-readiness checks, ownership of the submitted material, an agreed budget, and a written definition of the final stable diffusion v15 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-diffusion-v15.

Highlights

Distinct output behavior. For Stable Diffusion v1.5, for Stable Diffusion v1.5, create the image without a source-image field In Stable Diffusion v1.5, this capability is applied through the exact stability-ai/stable-diffusion-v15 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 Stable Diffusion v1.5, for Stable Diffusion v1.5, attach LoRAs and embeddings independently In Stable Diffusion v1.5, this capability is applied through the exact stability-ai/stable-diffusion-v15 workflow with loras as a relevant request control; the loras control exposes the corresponding choice in this route; the loras control exposes the corresponding choice in this route.
Workflow fit. For Stable Diffusion v1.5, for Stable Diffusion v1.5, turn on expand_prompt when automatic additional prompting is wanted In Stable Diffusion v1.5, this capability is applied through the exact stability-ai/stable-diffusion-v15 workflow with format as a relevant request control; the format control exposes the corresponding choice in this route; the format control exposes the corresponding choice in this route.
Production detail. For Stable Diffusion v1.5, for Stable Diffusion v1.5, use safety-checker v1 by default or request v2 In Stable Diffusion v1.5, this capability is applied through the exact stability-ai/stable-diffusion-v15 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.

Pricing

Configuration	Price
Per request	$0.00125

When to Use

Scenario	Why this model fits
Choose Stable Diffusion v1.5	Use it when the required deliverable is specifically the image result documented for `stability-ai/stable-diffusion-v15`.
Match the source material	Select this route when your inputs naturally map to `seed`, `loras`, `format`, `prompt`.
Use its distinguishing capability	For Stable Diffusion v1.5, create the image without a source-image field In Stable Diffusion v1.5, this capability is applied through the exact stability-ai/stable-diffusion-v15 workflow with seed as a relevant request control; the seed control exposes the corresponding choice in this route
Plan repeatable production	For Stable Diffusion v1.5, attach LoRAs and embeddings independently In Stable Diffusion v1.5, this capability is applied through the exact stability-ai/stable-diffusion-v15 workflow with loras as a relevant request control; the loras control exposes the corresponding choice in this route
Confirm cost and delivery	Use the pricing combinations below and the output contract above when budgeting or automating Stable Diffusion v1.5 jobs.

Prompt Guide

Build the request around the exact stability-ai/stable-diffusion-v15 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": "photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
  "seed": 0,
  "loras": [],
  "format": "jpeg"
}

Technical Specs

Specification	Value
Model ID	`stability-ai/stable-diffusion-v15`
Execution mode	`async`
Required inputs	`prompt`
Request fields	`seed` (integer, optional); `loras` (array, optional); `format` (string, optional, options: jpeg / png); `prompt` (string, required); `embeddings` (array, optional); `request_id` (string, optional); `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); `expand_prompt` (boolean, optional); `guidance_scale` (number, optional, min 0, max 20); `num_inference_steps` (integer, optional, min 1, max 50); `safety_checker_version` (string, optional, options: v1 / v2)
Output	`url` (string); `content_type` (string)

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OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API

Endpoint

https://api.sandbase.ai/v1/run

Model ID

stability-ai/stable-diffusion-v15

# Preserve Unicode and shell metacharacters in the request body.
result=$(printf '%s' 'ewogICJtb2RlbCI6ICJzdGFiaWxpdHktYWkvc3RhYmxlLWRpZmZ1c2lvbi12MTUiLAogICJsb3JhcyI6IFtdLAogICJmb3JtYXQiOiAianBlZyIsCiAgInByb21wdCI6ICJwaG90byBvZiBhIHJoaW5vIGRyZXNzZWQgc3VpdCBhbmQgdGllIHNpdHRpbmcgYXQgYSB0YWJsZSBpbiBhIGJhciB3aXRoIGEgYmFyIHN0b29scywgYXdhcmQgd2lubmluZyBwaG90b2dyYXBoeSwgRWxrZSB2b2dlbHNhbmciLAogICJlbWJlZGRpbmdzIjogW10sCiAgImV4cGFuZF9wcm9tcHQiOiBmYWxzZSwKICAiZ3VpZGFuY2Vfc2NhbGUiOiA3LjUsCiAgIm51bV9pbmZlcmVuY2Vfc3RlcHMiOiAyNSwKICAic2FmZXR5X2NoZWNrZXJfdmVyc2lvbiI6ICJ2MSIKfQ==' \
  | 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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