—
Stability AI SDXL ControlNet Canny — Image to Image
Generate Images with ControlNet.
Input
Add your inputs and customize the generation settings.
Result & Pricing
Image output — your generated image will appear here.
Your image will appear here
Choose your inputs and customize your settings.
Model pricing (tax excluded) initial reservation per generation
| Billing stage | How it works |
|---|---|
| Reserved credits | A one-time reservation based on 300 compute seconds |
| Final charge | Adjusted to confirmed usage after generation |
Check the credits to reserve before you generate.
Prices, estimates and credit deductions exclude tax. Any applicable tax is charged only when you buy plans or credits.
Initial reservation: credits are reserved before generation. Your final charge is adjusted to confirmed usage after generation. Any unused reserved credits become available again automatically; additional usage may require more credits. The reservation covers compute time, which may differ from the length of your generated media.
- Prices shown are estimates, not final charges. Final billing details will be available in Reports after generation is complete.
API
WEBOT API · Image to Image
Generate from your server with your WEBOT account credits.
Use your 120-character WEBOT customer key (a–z, A–Z, 0–9). Send
Authorization: Bearer YOUR_KEY. Keys are secrets: call from a server, never from public frontend code. Results come from verified webhooks and remain saved if your stream disconnects.1. Configure your server
WEBOT_BASE_URL=https://webot.online
WEBOT_API_KEY=<your-server-side-WEBOT-key>This base URL is resolved from verified domain mappings and your direct creator reseller. Forwarded Host headers are not trusted. New custom reseller domains need DNS, TLS and platform verification before activation.
2. Quote, then generate
| Method | Endpoint | Purpose |
|---|---|---|
| POST | https://webot.online/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote | Validate input and calculate credits (no deduction). |
| POST | https://webot.online/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests | Reserve quoted credits and queue an asynchronous job. |
| GET | https://webot.online/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests/{request_id}/result | Read your saved result: 202 pending, 200 terminal. |
| GET | https://webot.online/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests/{request_id}/events | Authenticated SSE: generation / terminal events. |
Send JSON {"input":{…}} to quote. Send the same input plus integer quoted_credits to generate, with Authorization: Bearer … and Idempotency-Key. Use a unique 16–128 character key per new job; persist it and reuse the same key and input on any uncertain response. Never retry with a new key: that creates a second chargeable job.
Credits are reserved only after validation and a durable request is saved. A changed quote or insufficient balance returns 409. Credits exclude purchase taxes. The quoted amount is an initial reservation. After generation, the final charge replaces it using confirmed usage. Any verified unused allocation becomes available automatically; additional usage may require more credits. Missing billing stays pending, including for failed jobs.
3. Input example
Save this as input.json. Replace sample prompts, files and media URLs with your own. Schemas do not guarantee provider acceptance of the content.
{
"embeddings": [],
"prompt": "Ice fortress, aurora skies, polar wildlife, twilight",
"preserve_aspect_ratio": false,
"enable_safety_checker": true,
"image_url": "https://fal-cdn.batuhan-941.workers.dev/files/tiger/IExuP-WICqaIesLZAZPur.jpeg",
"strength": 0.95,
"loras": [],
"expand_prompt": false,
"num_inference_steps": 35,
"safety_checker_version": "v1",
"negative_prompt": "",
"guidance_scale": 7.5,
"format": "jpeg",
"request_id": "",
"sync_mode": false,
"crop_output": false,
"controlnet_conditioning_scale": 0.5,
"num_images": 1,
"control_image_url": "https://fal-cdn.batuhan-941.workers.dev/files/rabbit/MiN_j3St9B8esJleCZKMU.jpeg"
}4. Language examples
# Save the model's example input as input.json, then replace prompts/media URLs.
# Requires curl and jq. Store NONCE once for this job; reuse it on any retry.
export NONCE="$(openssl rand -hex 16)"
BASE="${WEBOT_BASE_URL%/}"
jq -n --slurpfile input input.json '{input:$input[0]}' > quote-body.json
curl --fail-with-body -sS "$BASE/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote" \
-H "Authorization: Bearer $WEBOT_API_KEY" -H 'Content-Type: application/json' \
--data-binary @quote-body.json > quote.json
CREDITS=$(jq -er '.quote.credits_consumed' quote.json)
jq --argjson credits "$CREDITS" '. + {quoted_credits:$credits}' quote-body.json > request-body.json
curl --fail-with-body -sS "$BASE/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests" \
-H "Authorization: Bearer $WEBOT_API_KEY" -H "Idempotency-Key: $NONCE" \
-H 'Content-Type: application/json' --data-binary @request-body.json > job.json
# Subscribe; after a nonterminal disconnect, reconnect this SAME URL.
curl --fail-with-body -N "$(jq -er '.events_url' job.json)" -H "Authorization: Bearer $WEBOT_API_KEY"
# Read saved output after terminal notification (never call provider status/results).
curl --fail-with-body -sS "$(jq -er '.result_url' job.json)" -H "Authorization: Bearer $WEBOT_API_KEY"// Node.js 18+. Save your customized input in input.json.
import { readFileSync } from 'node:fs';
import { randomUUID } from 'node:crypto';
const base = process.env.WEBOT_BASE_URL.replace(/\/$/, '');
const key = process.env.WEBOT_API_KEY;
const input = JSON.parse(readFileSync('input.json', 'utf8'));
const nonce = process.env.WEBOT_JOB_NONCE || randomUUID(); // Persist before submission.
async function post(path, body, nonce) {
const response = await fetch(base + path, {method:'POST', headers:{
Authorization:`Bearer ${key}`, 'Content-Type':'application/json',
...(nonce ? {'Idempotency-Key':nonce} : {})}, body:JSON.stringify(body)});
const json = await response.json();
if (!response.ok) throw new Error(JSON.stringify(json));
return json;
}
const {quote} = await post('/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote', {input});
const job = await post('/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests', {input, quoted_credits:quote.credits_consumed}, nonce);
console.log(job); // Stable WEBOT request_id, events_url, result_url.
// Stream saved webhook state. Reconnect ONLY the event stream, not the generation.
while (!job.terminal || job.financial_pending) {
const stream = await fetch(job.events_url, {headers:{Authorization:`Bearer ${key}`}});
if (!stream.ok) throw new Error(`Event stream HTTP ${stream.status}`);
let buffer = '';
for await (const chunk of stream.body.pipeThrough(new TextDecoderStream())) {
buffer += chunk;
let end;
while ((end = buffer.indexOf('\n\n')) !== -1) {
const event = buffer.slice(0, end); buffer = buffer.slice(end + 2);
const data = event.split('\n').find(line => line.startsWith('data: '));
if (!data) continue;
const state = JSON.parse(data.slice(6));
if (state.error && !state.status) throw new Error(JSON.stringify(state.error));
if (state.terminal && !state.financial_pending) { console.log(state.output ?? state.error); process.exit(0); }
}
}
await new Promise(resolve => setTimeout(resolve, 1500));
}
console.log(job.output ?? job.error);// Node.js 18+. Save your customized input in input.json.
import { readFileSync } from 'node:fs';
import { randomUUID } from 'node:crypto';
const base = process.env.WEBOT_BASE_URL!.replace(/\/$/, '');
const key = process.env.WEBOT_API_KEY!;
const input = JSON.parse(readFileSync('input.json', 'utf8'));
const nonce = process.env.WEBOT_JOB_NONCE || randomUUID(); // Persist before submission.
async function post(path: string, body: unknown, nonce?: string) {
const response = await fetch(base + path, {method:'POST', headers:{
Authorization:`Bearer ${key}`, 'Content-Type':'application/json',
...(nonce ? {'Idempotency-Key':nonce} : {})}, body:JSON.stringify(body)});
const json = await response.json();
if (!response.ok) throw new Error(JSON.stringify(json));
return json;
}
const {quote} = await post('/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote', {input});
const job = await post('/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests', {input, quoted_credits:quote.credits_consumed}, nonce);
console.log(job); // Stable WEBOT request_id, events_url, result_url.
// Stream saved webhook state. Reconnect ONLY the event stream, not the generation.
while (!job.terminal || job.financial_pending) {
const stream = await fetch(job.events_url, {headers:{Authorization:`Bearer ${key}`}});
if (!stream.ok) throw new Error(`Event stream HTTP ${stream.status}`);
let buffer = '';
for await (const chunk of stream.body.pipeThrough(new TextDecoderStream())) {
buffer += chunk;
let end;
while ((end = buffer.indexOf('\n\n')) !== -1) {
const event = buffer.slice(0, end); buffer = buffer.slice(end + 2);
const data = event.split('\n').find(line => line.startsWith('data: '));
if (!data) continue;
const state = JSON.parse(data.slice(6));
if (state.error && !state.status) throw new Error(JSON.stringify(state.error));
if (state.terminal && !state.financial_pending) { console.log(state.output ?? state.error); process.exit(0); }
}
}
await new Promise(resolve => setTimeout(resolve, 1500));
}
console.log(job.output ?? job.error);# Python 3.9+, pip install requests
import json, os, time, uuid, requests
base = os.environ['WEBOT_BASE_URL'].rstrip('/')
headers = {'Authorization': 'Bearer ' + os.environ['WEBOT_API_KEY']}
with open('input.json', encoding='utf-8') as file:
input_data = json.load(file)
nonce = os.environ.get('WEBOT_JOB_NONCE') or str(uuid.uuid4()) # Persist before submitting.
def post(path, body, extra=None):
response = requests.post(base + path, headers={**headers, **(extra or {})}, json=body, timeout=180)
response.raise_for_status()
return response.json()
quote = post('/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote', {'input': input_data})['quote']
job = post('/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests', {'input': input_data, 'quoted_credits': quote['credits_consumed']}, {'Idempotency-Key': nonce})
state = job
while not state['terminal'] or state.get('financial_pending', False):
# Reconnect while nonterminal; this reads WEBOT's database, never a provider status API.
with requests.get(job['events_url'], headers=headers, stream=True, timeout=(10, 40)) as stream:
stream.raise_for_status()
for line in stream.iter_lines(decode_unicode=True):
if line and line.startswith('data: '):
state = json.loads(line[6:])
if 'status' not in state: raise RuntimeError(state)
if state['terminal'] and not state.get('financial_pending', False): break
if not state['terminal'] or state.get('financial_pending', False): time.sleep(1.5)
print(state['output'] if state['status'] == 'completed' else state['error'])<?php // PHP 8.1+ with cURL
$base = rtrim(getenv('WEBOT_BASE_URL'), '/');
$input = json_decode(file_get_contents('input.json'), false, 64, JSON_THROW_ON_ERROR);
$nonce = getenv('WEBOT_JOB_NONCE') ?: bin2hex(random_bytes(16)); // Persist this before submission.
function post(string $path, array $body, ?string $nonce = null): array {
global $base;
$headers = ['Authorization: Bearer '.getenv('WEBOT_API_KEY'), 'Content-Type: application/json'];
if ($nonce) $headers[] = 'Idempotency-Key: '.$nonce;
$ch = curl_init($base.$path);
curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER=>true, CURLOPT_POST=>true,
CURLOPT_TIMEOUT=>180, CURLOPT_HTTPHEADER=>$headers,
CURLOPT_POSTFIELDS=>json_encode($body, JSON_THROW_ON_ERROR)]);
$raw = curl_exec($ch); $status = curl_getinfo($ch, CURLINFO_HTTP_CODE); curl_close($ch);
if ($raw === false || $status < 200 || $status >= 300) throw new RuntimeException('WEBOT HTTP '.$status);
return json_decode($raw, true, 64, JSON_THROW_ON_ERROR);
}
$quote = post('/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote', ['input'=>$input])['quote'];
$job = post('/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests', ['input'=>$input, 'quoted_credits'=>$quote['credits_consumed']], $nonce);
echo json_encode($job, JSON_PRETTY_PRINT); // Connect to events_url with the same Bearer header.// Go 1.20+; save as main.go.
package main
import ("bytes"; "encoding/json"; "fmt"; "io"; "net/http"; "os"; "strings"; "time"; "crypto/rand"; "encoding/hex")
func main() {
base := strings.TrimRight(os.Getenv("WEBOT_BASE_URL"), "/")
raw, err := os.ReadFile("input.json"); if err != nil { panic(err) }
nonce := os.Getenv("WEBOT_JOB_NONCE")
if nonce == "" { b := make([]byte,16); if _,err:=rand.Read(b);err!=nil {panic(err)}; nonce=hex.EncodeToString(b) }
// Persist nonce before the submission; reuse on ambiguous responses.
client := &http.Client{Timeout:180*time.Second}
post := func(path string, body any, id string) map[string]any {
data, err := json.Marshal(body); if err != nil {panic(err)}
req, err := http.NewRequest("POST",base+path,bytes.NewReader(data)); if err!=nil {panic(err)}
req.Header.Set("Authorization","Bearer "+os.Getenv("WEBOT_API_KEY")); req.Header.Set("Content-Type","application/json")
if id!="" {req.Header.Set("Idempotency-Key",id)}
res,err:=client.Do(req); if err!=nil {panic(err)}; defer res.Body.Close()
data,err=io.ReadAll(res.Body); if err!=nil {panic(err)}
if res.StatusCode<200||res.StatusCode>=300 {panic(string(data))}
var result map[string]any; if err=json.Unmarshal(data,&result);err!=nil {panic(err)}; return result
}
input:=json.RawMessage(raw)
quote:=post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote",map[string]any{"input":input},"")["quote"].(map[string]any)
job:=post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests",map[string]any{"input":input,"quoted_credits":quote["credits_consumed"]},nonce)
fmt.Println(job) // Stream events_url with the same Authorization header.
}// Java 11+, Jackson databind dependency; class Main in Main.java.
import java.net.URI;
import java.net.http.*;
import java.nio.file.*;
import java.time.Duration;
import java.util.UUID;
import com.fasterxml.jackson.databind.*;
import com.fasterxml.jackson.databind.node.ObjectNode;
public class Main {
static final ObjectMapper json = new ObjectMapper();
static final HttpClient client = HttpClient.newHttpClient();
static final String base = System.getenv("WEBOT_BASE_URL").replaceAll("/$", "");
static JsonNode post(String path, JsonNode body, String nonce) throws Exception {
var b = HttpRequest.newBuilder(URI.create(base+path)).timeout(Duration.ofSeconds(180))
.header("Authorization","Bearer "+System.getenv("WEBOT_API_KEY")).header("Content-Type","application/json")
.POST(HttpRequest.BodyPublishers.ofString(json.writeValueAsString(body)));
if(nonce!=null)b.header("Idempotency-Key",nonce);
var r=client.send(b.build(),HttpResponse.BodyHandlers.ofString());
if(r.statusCode()<200||r.statusCode()>=300)throw new IllegalStateException(r.body());
return json.readTree(r.body());
}
public static void main(String[] args) throws Exception {
var input=json.readTree(Files.readString(Path.of("input.json")));
ObjectNode body=json.createObjectNode();body.set("input",input);
var quote=post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote",body,null).get("quote");
body.put("quoted_credits",quote.get("credits_consumed").asInt());
String nonce=System.getenv("WEBOT_JOB_NONCE");if(nonce==null)nonce=UUID.randomUUID().toString(); // Persist before POST.
var job=post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests",body,nonce);System.out.println(job);
// Subscribe to job.events_url with Authorization; use BodyHandlers.ofLines().
}
}// .NET 8 console app, top-level statements.
using System.Net.Http;
using System.Text;
using System.Text.Json.Nodes;
var client = new HttpClient { Timeout = TimeSpan.FromSeconds(180) };
var root = Environment.GetEnvironmentVariable("WEBOT_BASE_URL")!.TrimEnd('/');
var key = Environment.GetEnvironmentVariable("WEBOT_API_KEY");
async Task<JsonNode> Post(string path, JsonNode body, string? nonce = null) {
using var req = new HttpRequestMessage(HttpMethod.Post, root + path);
req.Headers.Add("Authorization", "Bearer " + key);
if (nonce != null) req.Headers.Add("Idempotency-Key", nonce);
req.Content = new StringContent(body.ToJsonString(), Encoding.UTF8, "application/json");
using var res = await client.SendAsync(req);
var raw = await res.Content.ReadAsStringAsync();res.EnsureSuccessStatusCode();
return JsonNode.Parse(raw)!;
}
var input = JsonNode.Parse(await File.ReadAllTextAsync("input.json"));
var body = new JsonObject { ["input"] = input };
var quote = await Post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote", body);
body["quoted_credits"] = quote["quote"]!["credits_consumed"]!.GetValue<int>();
var nonce = Environment.GetEnvironmentVariable("WEBOT_JOB_NONCE") ?? Guid.NewGuid().ToString(); // Persist before submitting.
var job = await Post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests", body, nonce);
Console.WriteLine(job); // Subscribe to events_url with the same Bearer header and ResponseHeadersRead.# Ruby 3+, standard library only.
require 'net/http'
require 'json'
require 'securerandom'
base = ENV.fetch('WEBOT_BASE_URL').sub(%r{/$}, '')
post = lambda do |path, body, nonce = nil|
uri = URI(base + path)
req = Net::HTTP::Post.new(uri)
req['Authorization'] = 'Bearer ' + ENV.fetch('WEBOT_API_KEY')
req['Content-Type'] = 'application/json'
req['Idempotency-Key'] = nonce if nonce
req.body = JSON.generate(body)
res = Net::HTTP.start(uri.host, uri.port, use_ssl: true, read_timeout: 180) { |http| http.request(req) }
raise res.body unless res.is_a?(Net::HTTPSuccess)
JSON.parse(res.body)
end
input = JSON.parse(File.read('input.json'))
quote = post.call('/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote', {'input' => input})['quote']
nonce = ENV['WEBOT_JOB_NONCE'] || SecureRandom.uuid # Persist this before submission.
job = post.call('/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests', {'input' => input, 'quoted_credits' => quote['credits_consumed']}, nonce)
puts JSON.pretty_generate(job) # Subscribe to events_url with the same Authorization header.// Swift 5.9 server-side/CLI only. Do not embed customer keys in shipped apps.
import Foundation
#if canImport(FoundationNetworking)
import FoundationNetworking
#endif
@main struct Main {
static func main() async throws {
let env=ProcessInfo.processInfo.environment
let base=env["WEBOT_BASE_URL"]!.trimmingCharacters(in: CharacterSet(charactersIn:"/"))
let input=try JSONSerialization.jsonObject(with: Data(contentsOf:URL(fileURLWithPath:"input.json")))
func post(_ path:String,_ body:[String:Any],_ nonce:String?=nil) async throws -> [String:Any] {
var req=URLRequest(url:URL(string:base+path)!);req.httpMethod="POST";req.timeoutInterval=180
req.setValue("Bearer "+env["WEBOT_API_KEY"]!,forHTTPHeaderField:"Authorization")
req.setValue("application/json",forHTTPHeaderField:"Content-Type")
if let nonce {req.setValue(nonce,forHTTPHeaderField:"Idempotency-Key")}
req.httpBody=try JSONSerialization.data(withJSONObject:body)
let (data,res)=try await URLSession.shared.data(for:req)
guard let http=res as? HTTPURLResponse,(200..<300).contains(http.statusCode) else {throw NSError(domain:"WEBOT",code:1)}
return try JSONSerialization.jsonObject(with:data) as! [String:Any]
}
let quote=try await post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote",["input":input])["quote"] as! [String:Any]
let nonce=env["WEBOT_JOB_NONCE"] ?? UUID().uuidString // Persist before submission.
let job=try await post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests",["input":input,"quoted_credits":quote["credits_consumed"]!],nonce)
print(job) // Subscribe to events_url with the same Authorization header.
}
}// Server-side Kotlin/JVM 17+, Gradle dependencies: OkHttp 4.12, org.json 20240303.
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.toRequestBody
import org.json.JSONObject
import java.io.File
import java.util.UUID
import java.util.concurrent.TimeUnit
fun main() {
val base=System.getenv("WEBOT_BASE_URL").trimEnd('/')
val client=OkHttpClient.Builder().readTimeout(180,TimeUnit.SECONDS).build()
fun post(path:String,body:JSONObject,nonce:String?=null):JSONObject {
val b=Request.Builder().url(base+path).header("Authorization","Bearer "+System.getenv("WEBOT_API_KEY"))
.post(body.toString().toRequestBody("application/json".toMediaType()))
if(nonce!=null)b.header("Idempotency-Key",nonce)
return client.newCall(b.build()).execute().use {res ->
val raw=res.body!!.string();check(res.isSuccessful){raw};JSONObject(raw)
}
}
val body=JSONObject().put("input",JSONObject(File("input.json").readText()))
val quote=post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/quote",body).getJSONObject("quote")
body.put("quoted_credits",quote.getInt("credits_consumed"))
val nonce=System.getenv("WEBOT_JOB_NONCE") ?: UUID.randomUUID().toString() // Persist before submission.
val job=post("/api/v1/models/creative_a1cf276924b03d9c6f07039b/requests",body,nonce)
println(job) // Subscribe to events_url with the same Authorization header.
}5. Receive all results
The response includes a stable WEBOT request_id, events_url and result_url. Subscribe with a Bearer-authenticated HTTP stream. Nonterminal streams end after 25 seconds; reconnect to the same URL after at least 1.5 seconds. Current saved state is replayed immediately, including completion that happened while disconnected. A terminal event contains the result envelope. The JSON terminal flag describes generation completion. Keep reconnecting while financial_pending is true; stop after the terminal event confirms financial settlement. Never poll provider status/results. Native browser EventSource cannot send a Bearer header; keep the key on your server.
Completed output contains the full model result, including every generated media/document item, not just the first URL. Failed output is null with error and refund_state. Results are strictly limited to the key owner, including on reseller domains. Model-independent aliases: /api/v1/requests/{request_id}/result and /events. Revoking a key blocks subsequent reads and streams; saved results remain accessible with another valid key of the same account.
6. Schemas and parameter defaults
Required fields are marked with *. Required text must contain non-whitespace content. Defaults apply when an optional parameter is omitted; null, false, 0 and an empty array are distinct values. “No documented default” means WEBOT does not invent one. Examples are sample inputs, not defaults. WEBOT generation constraints can require an explicit value even when the provider publishes an automatic default.
Input schema · fields, constraints and defaults
| Parameter | Type | Required | Default when omitted | Description / constraints |
|---|---|---|---|---|
embeddings | array | No | [] | The list of embeddings to use. |
embeddings[].path | string | Yes * | No documented default | URL or the path to the embedding weights. |
embeddings[].tokens | array | null | No | null | The list of tokens to use for the embedding. When omitted, tokens are generated as <s0>, <s1>, ... to match the number of vectors in the embedding file. |
prompt | string | Yes * | No documented default | The prompt to use for generating the image. Be as descriptive as possible for best results. |
preserve_aspect_ratio | boolean | No | false | If set to true, the aspect ratio of the generated image will be preserved even if the image size is too large. However, if the image is not a multiple of 32 in width or height, it will be resized to the nearest multiple of 32. By default, this snapping to the nearest multiple of 32 will not preserve the aspect ratio. Set crop_output to True, to crop the output to the proper aspect ratio after generating. |
seed | integer | null | No | null | The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time. |
enable_safety_checker | boolean | No | true | If set to true, the safety checker will be enabled. |
image_url | string | Yes * | No documented default | The URL of the image to use as a starting point for the generation. |
strength | number | No | 0.95 | determines how much the generated image resembles the initial image minimum: 0.05 · maximum: 1 |
loras | array | No | [] | The list of LoRA weights to use. |
loras[].path | string | Yes * | No documented default | URL or path to a LoRA safetensors file. Or HF model name that resolves to safetensors weights. |
loras[].scale | number | No | 1 |
The scale of the LoRA weight. This is used to scale the LoRA weight
before merging it with the base model.
minimum: 0 · maximum: 1 |
loras[].force | boolean | No | false | If set to true, the embedding will be forced to be used. |
expand_prompt | boolean | No | false | If set to true, the prompt will be expanded with additional prompts. |
num_inference_steps | integer | No | 35 | The number of inference steps to perform. minimum: 1 · maximum: 70 |
safety_checker_version | string | No | "v1" | The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model. enum: ["v1","v2"] |
image_size | object | string | null | No | null | The size of the generated image. Leave it none to automatically infer from the control image. |
image_size.variant0.width | integer | No | 512 | The width of the generated image. maximum: 14142 · exclusiveMinimum: 0 |
image_size.variant0.height | integer | No | 512 | The height of the generated image. maximum: 14142 · exclusiveMinimum: 0 |
negative_prompt | string | No | "" | The negative prompt to use.Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). |
guidance_scale | number | No | 7.5 |
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.
minimum: 0 · maximum: 20 |
format | string | No | "jpeg" | The format of the generated image. enum: ["jpeg","png"] |
request_id | string | No | "" | An id bound to a request, can be used with response to identify the request itself. |
sync_mode | boolean | No | false | If `True`, the media will be returned as a data URI and the output data won't be available in the request history. |
crop_output | boolean | No | false | If set to true, the output cropped to the proper aspect ratio after generating. |
controlnet_conditioning_scale | number | No | 0.5 | The scale of the controlnet conditioning. minimum: 0 · maximum: 1 |
num_images | integer | No | 1 | The number of images to generate. minimum: 1 · maximum: 8 |
control_image_url | string | Yes * | No documented default | The URL of the control image. |
{
"properties": {
"embeddings": {
"items": {
"properties": {
"path": {
"description": "URL or the path to the embedding weights.",
"examples": [
"https://civitai.com/api/download/models/135931",
"https://filebin.net/3chfqasxpqu21y8n/my-custom-lora-v1.safetensors"
],
"title": "Path",
"type": "string"
},
"tokens": {
"default": null,
"description": "\n The list of tokens to use for the embedding. When omitted, tokens\n are generated as <s0>, <s1>, ... to match the number of vectors in\n the embedding file.\n ",
"title": "Tokens",
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
]
}
},
"x-webot-order-properties": [
"path",
"tokens"
],
"title": "Embedding",
"required": [
"path"
],
"type": "object"
},
"description": "The list of embeddings to use.",
"default": [],
"title": "Embeddings",
"type": "array"
},
"prompt": {
"description": "The prompt to use for generating the image. Be as descriptive as possible for best results.",
"examples": [
"Ice fortress, aurora skies, polar wildlife, twilight"
],
"title": "Prompt",
"type": "string"
},
"preserve_aspect_ratio": {
"default": false,
"description": "\n If set to true, the aspect ratio of the generated image will be preserved even\n if the image size is too large. However, if the image is not a multiple of 32\n in width or height, it will be resized to the nearest multiple of 32. By default,\n this snapping to the nearest multiple of 32 will not preserve the aspect ratio.\n Set crop_output to True, to crop the output to the proper aspect ratio\n after generating.\n ",
"title": "Preserve Aspect Ratio",
"type": "boolean"
},
"seed": {
"default": null,
"description": "\n The same seed and the same prompt given to the same version of Stable Diffusion\n will output the same image every time.\n ",
"title": "Seed",
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
]
},
"enable_safety_checker": {
"default": true,
"description": "If set to true, the safety checker will be enabled.",
"title": "Enable Safety Checker",
"type": "boolean"
},
"image_url": {
"description": "The URL of the image to use as a starting point for the generation.",
"title": "Image Url",
"type": "string"
},
"strength": {
"default": 0.95,
"description": "determines how much the generated image resembles the initial image",
"maximum": 1,
"title": "Strength",
"minimum": 0.05,
"type": "number"
},
"loras": {
"items": {
"properties": {
"path": {
"description": "URL or path to a LoRA safetensors file. Or HF model name that resolves to safetensors weights.",
"examples": [
"https://civitai.com/api/download/models/135931",
"https://filebin.net/3chfqasxpqu21y8n/my-custom-lora-v1.safetensors"
],
"title": "Path",
"type": "string"
},
"scale": {
"default": 1,
"description": "\n The scale of the LoRA weight. This is used to scale the LoRA weight\n before merging it with the base model.\n ",
"maximum": 1,
"title": "Scale",
"minimum": 0,
"type": "number"
},
"force": {
"default": false,
"description": "If set to true, the embedding will be forced to be used.",
"title": "Force",
"type": "boolean"
}
},
"title": "LoraWeight",
"required": [
"path"
],
"type": "object"
},
"description": "The list of LoRA weights to use.",
"default": [],
"title": "Loras",
"type": "array"
},
"expand_prompt": {
"default": false,
"description": "If set to true, the prompt will be expanded with additional prompts.",
"title": "Expand Prompt",
"type": "boolean"
},
"num_inference_steps": {
"default": 35,
"description": "The number of inference steps to perform.",
"maximum": 70,
"title": "Num Inference Steps",
"minimum": 1,
"type": "integer"
},
"safety_checker_version": {
"enum": [
"v1",
"v2"
],
"description": "The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model.",
"default": "v1",
"title": "Safety Checker Version",
"type": "string"
},
"image_size": {
"default": null,
"description": "The size of the generated image. Leave it none to automatically infer from the control image.",
"examples": [
null
],
"title": "Image Size",
"anyOf": [
{
"properties": {
"width": {
"exclusiveMinimum": 0,
"description": "The width of the generated image.",
"default": 512,
"maximum": 14142,
"title": "Width",
"type": "integer"
},
"height": {
"exclusiveMinimum": 0,
"description": "The height of the generated image.",
"default": 512,
"maximum": 14142,
"title": "Height",
"type": "integer"
}
},
"title": "ImageSize",
"type": "object"
},
{
"enum": [
"square_hd",
"square",
"portrait_4_3",
"portrait_16_9",
"landscape_4_3",
"landscape_16_9"
],
"type": "string"
},
{
"type": "null"
}
]
},
"negative_prompt": {
"default": "",
"description": "\n The negative prompt to use.Use it to address details that you don't want\n in the image. This could be colors, objects, scenery and even the small details\n (e.g. moustache, blurry, low resolution).\n ",
"examples": [
"cartoon, illustration, animation. face. male, female"
],
"title": "Negative Prompt",
"type": "string"
},
"guidance_scale": {
"default": 7.5,
"description": "\n The CFG (Classifier Free Guidance) scale is a measure of how close you want\n the model to stick to your prompt when looking for a related image to show you.\n ",
"maximum": 20,
"title": "Guidance scale (CFG)",
"minimum": 0,
"type": "number"
},
"format": {
"enum": [
"jpeg",
"png"
],
"description": "The format of the generated image.",
"default": "jpeg",
"title": "Format",
"type": "string"
},
"request_id": {
"default": "",
"description": "\n An id bound to a request, can be used with response to identify the request\n itself.\n ",
"title": "Request Id",
"type": "string"
},
"sync_mode": {
"default": false,
"description": "If `True`, the media will be returned as a data URI and the output data won't be available in the request history.",
"title": "Sync Mode",
"type": "boolean"
},
"crop_output": {
"default": false,
"description": "\n If set to true, the output cropped to the proper aspect ratio after generating.\n ",
"title": "Crop Output",
"type": "boolean"
},
"controlnet_conditioning_scale": {
"default": 0.5,
"description": "The scale of the controlnet conditioning.",
"maximum": 1,
"title": "Controlnet Conditioning Scale",
"minimum": 0,
"type": "number"
},
"num_images": {
"default": 1,
"description": "The number of images to generate.",
"maximum": 8,
"title": "Num Images",
"minimum": 1,
"type": "integer"
},
"control_image_url": {
"description": "The URL of the control image.",
"title": "Control Image Url",
"type": "string"
}
},
"x-webot-order-properties": [
"prompt",
"control_image_url",
"controlnet_conditioning_scale",
"image_url",
"negative_prompt",
"image_size",
"num_inference_steps",
"guidance_scale",
"strength",
"seed",
"sync_mode",
"num_images",
"loras",
"embeddings",
"enable_safety_checker",
"safety_checker_version",
"expand_prompt",
"format",
"request_id",
"preserve_aspect_ratio",
"crop_output"
],
"title": "ImageToImageControlNetInput",
"required": [
"image_url",
"prompt",
"control_image_url"
],
"type": "object"
}Output (inside result.output) schema · fields, constraints and defaults
| Parameter | Type | Required | Default when omitted | Description / constraints |
|---|---|---|---|---|
prompt | string | Yes * | No documented default | The prompt used for generating the image. |
has_nsfw_concepts | array | Yes * | No documented default | Whether the generated images contain NSFW concepts. |
seed | integer | Yes * | No documented default | Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed. |
images | array | Yes * | No documented default | The generated image files info. |
images[].width | integer | Yes * | No documented default | |
images[].url | string | Yes * | No documented default | |
images[].height | integer | Yes * | No documented default | |
images[].content_type | string | null | No | "image/jpeg" | |
timings | object | Yes * | No documented default |
{
"properties": {
"prompt": {
"description": "The prompt used for generating the image.",
"title": "Prompt",
"type": "string"
},
"has_nsfw_concepts": {
"items": {
"type": "boolean"
},
"description": "Whether the generated images contain NSFW concepts.",
"title": "Has Nsfw Concepts",
"type": "array"
},
"seed": {
"description": "\n Seed of the generated Image. It will be the same value of the one passed in the\n input or the randomly generated that was used in case none was passed.\n ",
"title": "Seed",
"type": "integer"
},
"images": {
"items": {
"properties": {
"width": {
"title": "Width",
"type": "integer"
},
"url": {
"title": "Url",
"type": "string"
},
"height": {
"title": "Height",
"type": "integer"
},
"content_type": {
"default": "image/jpeg",
"title": "Content Type",
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
}
},
"x-webot-order-properties": [
"url",
"width",
"height",
"content_type"
],
"title": "Image",
"required": [
"url",
"width",
"height"
],
"type": "object"
},
"description": "The generated image files info.",
"title": "Images",
"type": "array"
},
"timings": {
"title": "Timings",
"additionalProperties": {
"type": "number"
},
"type": "object"
}
},
"x-webot-order-properties": [
"images",
"timings",
"seed",
"has_nsfw_concepts",
"prompt"
],
"title": "Output",
"required": [
"images",
"timings",
"seed",
"has_nsfw_concepts",
"prompt"
],
"type": "object"
}Errors and limits
401 invalid/expired/revoked key · 403 key scope or domain mismatch · 404 unavailable model or unowned request · 409 quote changed, balance, concurrency or idempotency conflict · 413 JSON exceeds 2 MB · 415 wrong content type · 422 invalid fields/media · 429 rate limit · 503 temporary/ambiguous submission. Respect Retry-After. Current limits per account: 12 quotes/submissions, 120 result reads and 8 stream connections per minute. One submission preparation at a time per account. Do not automatically regenerate failed jobs.
Your requests
Stability AI SDXL ControlNet Canny - Image to Image · Your account only
Select Requests to load your history.
| Request ID | Created at (IST) | Status | Credits used | Refunded | Processing time | Report |
|---|
Your model analytics
Stability AI SDXL ControlNet Canny - Image to Image · Request dates in IST
Select Analytics to load your metrics.
Request counts
Daily requests by their current status
Request outcomes
Completed, failed and pending requests
Credits used
Daily recorded charges before refunds
Processing time
Daily average for completed requests with recorded timing
Processing percentiles
Completed requests only · Time from submission to recorded completion
How to use Stability AI SDXL ControlNet Canny — Image to Image
This endpoint uses or extracts outline-like guidance. Edges and line drawings describe shapes without all the colours and textures of a photograph.
Required inputs
- Image Url: The input picture. Use a clear image in one of the accepted formats. If the form offers upload, select a file there; if it asks for a URL, use an accessible HTTPS file link.
- Prompt: Your instructions to the model. Say what you want, include the important details and avoid contradictory directions. For a video, describe the action as well as the scene.
- Control Image Url: The input picture. Use a clear image in one of the accepted formats. If the form offers upload, select a file there; if it asks for a URL, use an accessible HTTPS file link.
Workflow
- Prepare your source material and fill the required inputs above. Review the supported settings for this model.
- Sign in to calculate the credit estimate. Review the estimate before choosing Generate.
- Keep this model page open while the request runs. Completed results arrive in the result area; use the available player or download controls to review the output.
When to use this workflow
- Prepare or use a shape guide in the supported workflow.
Key settings
- Image Url
- The input picture. Use a clear image in one of the accepted formats. If the form offers upload, select a file there; if it asks for a URL, use an accessible HTTPS file link.
- Prompt
- Your instructions to the model. Say what you want, include the important details and avoid contradictory directions. For a video, describe the action as well as the scene.
- Control Image Url
- The input picture. Use a clear image in one of the accepted formats. If the form offers upload, select a file there; if it asks for a URL, use an accessible HTTPS file link.
- Controlnet Conditioning Scale
- How strongly the generation is guided by your instructions. Higher values can push it to follow the prompt more closely but may cause harsh colours or unnatural results in some models. Lower values allow more freedom. Keep the documented default for a first attempt. Minimum: 0. Maximum: 1
- Negative Prompt
- Describe things you would prefer the model to avoid, such as unwanted blur or objects. This guides the result but is not a guarantee that those things will never appear.
- Image Size
- The output dimensions, usually width and height in pixels or a named size. Pixels are tiny dots that form a picture. More pixels make a larger image; they do not automatically make it more accurate. Choose a size suited to where you will use it. Supported choices: "square_hd", "square", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9"