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.
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.
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.
150
The number of inference steps to perform. Range: 1 to 50.
The same seed and the same prompt given to the same version of Stable Diffusion
will output the same image every time.
The list of LoRA weights to use.
The list of embeddings to use.
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.
If set to true, the prompt will be expanded with additional prompts.
An id bound to a request, can be used with response to identify the request
itself.
The format of the generated image. Allowed values: jpeg, png.
Idle
Example output — click Run to generate your own
Production endpoint
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
POST
https://api.sandbase.ai/v1/runModel ID
stability-ai/stable-diffusion-v1501
Input Schema
11 parameters · 1 required · 10 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt to use for generating the image. Be as descriptive as possible for best results. |
seed | integer | Optional | The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time. · Default: null |
loras | object[] | Optional | The list of LoRA weights to use. · Default: [] |
format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "jpeg" jpegpng |
embeddings | object[] | Optional | The list of embeddings to use. · Default: [] |
request_id | string | Optional | An id bound to a request, can be used with response to identify the request itself. · Default: "" |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
expand_prompt | boolean | Optional | If set to true, the prompt will be expanded with additional prompts. · Default: false |
guidance_scale | number | Optional | 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. · Min: 0 · Max: 20 · Default: 7.5 |
num_inference_steps | integer | Optional | The number of inference steps to perform. · Min: 1 · Max: 50 · Default: 25 |
safety_checker_version | string | Optional | The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model. · Options: v1, v2 · Default: "v1" v1v2 |
02
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
03
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "stability-ai/stable-diffusion-v15",
"seed": null,
"loras": [],
"format": "jpeg",
"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",
"embeddings": [],
"request_id": "",
"expand_prompt": false,
"guidance_scale": 7.5,
"num_inference_steps": 25,
"safety_checker_version": "v1"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"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) |