FLUX.1 [dev] with Controlnets and Loras · Differential Diffusion
Integriraj
flux-general/differential-diffusion
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/flux-general/differential-diffusion?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-general/differential-diffusion?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-general/differential-diffusion", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/hr/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "flux-general/differential-diffusion",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
}
Pozovite model FLUX.1 [dev] with Controlnets and Loras · Differential Diffusion (flux-general/differential-diffusion) putem Doitong API-ja. Dokumentacija za agente: https://doitong.com/hr/developers/models/flux-general/differential-diffusion.md
POST https://api.doitong.ru/v1/run/flux-general/differential-diffusion?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
Ako je status odgovora "queued" ili "running", dohvaćajte GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 dok ne bude "succeeded"; datoteke se nalaze u outputs[].url. POST https://api.doitong.ru/v1/quote/flux-general/differential-diffusion s istim tijelom vraća točnu cijenu prije pokretanja.
Ovaj zahtjev: ≈0,138 $ 138 API kredita · ≈ 14,55 ₽ Pokreni na ovoj stranici
Vaš novi API ključ. Prikazuje se samo sada i već je u kodu i u polju za API ključ u nastavku. Čuvajte ga kao tajnu: nikad ga nemojte stavljati u kod koji se izvršava u pregledniku.
Izrađeno na Doitongu
Javna djela zajednice Doitong izrađena pomoću modela FLUX.1 [dev] with Controlnets and Loras. Ponovno upotrijebite prompt jednim klikom.
Close-up portrait seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Close-up portrait seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Prompt Details Seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi...
Seorang wanita berkulit pucat berdiri setengah tubuh di dalam air berwarna lembut kebiruan, dikelilingi bunga teratai berkelopak penuh yang bermekaran indah di permukaan air. Rambutnya pirang pucat tersanggul longgar dengan beberapa helaian tipis jatuh alami membingkai sisi wajahnya. Ia memeluk...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
"Potret sinematik ultra-realistis close-up seorang anak laki-laki kecil (balita) yang sangat menggemaskan dengan mata cokelat besar yang ekspresif, rambut hitam berantakan yang tebal, mengenakan kaus putih kerah henley. Dia berpose dengan kedua tangan terkatup di depan dada, menunjukkan senyum...
Foto sinematik hiper-realistis resolusi tinggi menampilkan seorang pria muda Indonesia dengan tubuh ramping dan proporsional, rambut hitam pendek agak acak, mengenakan jaket kulit hitam, celana riding fit, dan sepatu motor. Ia sedang melakukan aksi freestyle ekstrem dengan motor sport 500cc...
Foto sinematik hiper-realistis resolusi tinggi menampilkan seorang pria muda Indonesia dengan tubuh ramping dan proporsional, rambut hitam pendek agak acak, mengenakan jaket kulit hitam dan celana riding fit. Ia sedang bersiap melakukan freestyle menggunakan motor sport 500cc berwarna merah,...
Izradi zahtjev
Kontrole se generiraju iz sheme modela. Kôd i cijena ažuriraju se dok ih mijenjate.
/run/flux-general/differential-diffusion?wait=20
cijena → 0,138 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/flux-general/differential-diffusion?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-general/differential-diffusion?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-general/differential-diffusion", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "flux-general/differential-diffusion",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"wait_seconds": 20
}
}
}
Pokreni ovaj zahtjev
Vaš ključ ostaje u ovom pregledniku: šalje se samo Doitong API-ju i sprema u localStorage samo ako označite Zapamti. Nabavite API ključ
O modelu FLUX.1 [dev] with Controlnets and Loras · Differential Diffusion
Mijenja izvornu sliku područje po područje, koristeći sliku karte promjena za kontrolu opsega izmjene svakog područja. Zahtijeva `prompt`, `image_url` i `change_map_image_url`. Prihvaća i LoRA, ControlNet, IP-Adapter te referentnu sliku. `num_inference_steps` ide od 1 do 50, a `num_images` do 10, uz png ili jpeg izlaz.
Parametri
Pošaljite kanonski naziv ili izvorni naziv, ne oba. Kanonski nazivi
promptobavezno
image_sizeneobavezno
num_inference_stepsneobavezno
seedneobavezno
lorasneobavezno
loras[].pathobavezno
loras[].scaleneobavezno
control_lorasneobavezno
control_loras[].pathobavezno
control_loras[].scaleneobavezno
control_loras[].control_image_urlobavezno
control_loras[].preprocessneobavezno
controlnetsneobavezno
controlnets[].pathobavezno
controlnets[].config_urlneobavezno
controlnets[].variantneobavezno
controlnets[].control_image_urlobavezno
controlnets[].mask_image_urlneobavezno
controlnets[].mask_thresholdneobavezno
controlnets[].conditioning_scaleneobavezno
controlnets[].start_percentageneobavezno
controlnets[].end_percentageneobavezno
controlnet_unionsneobavezno
controlnet_unions[].pathobavezno
controlnet_unions[].config_urlneobavezno
controlnet_unions[].variantneobavezno
controlnet_unions[].controlsobavezno
controlnet_unions[].controls[].control_image_urlobavezno
controlnet_unions[].controls[].mask_image_urlneobavezno
controlnet_unions[].controls[].control_modeobavezno
controlnet_unions[].controls[].conditioning_scaleneobavezno
controlnet_unions[].controls[].mask_thresholdneobavezno
controlnet_unions[].controls[].start_percentageneobavezno
controlnet_unions[].controls[].end_percentageneobavezno
ip_adaptersneobavezno
ip_adapters[].pathobavezno
ip_adapters[].subfolderneobavezno
ip_adapters[].weight_nameneobavezno
ip_adapters[].image_encoder_pathobavezno
ip_adapters[].image_encoder_subfolderneobavezno
ip_adapters[].image_encoder_weight_nameneobavezno
ip_adapters[].image_urlobavezno
ip_adapters[].mask_image_urlneobavezno
ip_adapters[].mask_thresholdneobavezno
ip_adapters[].scaleobavezno
easycontrolsneobavezno
easycontrols[].control_method_urlobavezno
easycontrols[].scaleneobavezno
easycontrols[].image_urlobavezno
easycontrols[].image_control_typeobavezno
fill_imageneobavezno
fill_image.fill_image_urlneobavezno
guidance_scaleneobavezno
real_cfg_scaleneobavezno
use_real_cfgneobavezno
use_cfg_zeroneobavezno
num_imagesneobavezno
num_outputs
enable_safety_checkerneobavezno
reference_image_urlneobavezno
reference_strengthneobavezno
reference_startneobavezno
reference_endneobavezno
base_shiftneobavezno
max_shiftneobavezno
output_formatneobavezno
use_beta_scheduleneobavezno
sigma_scheduleneobavezno
schedulerneobavezno
negative_promptneobavezno
nag_scaleneobavezno
nag_tauneobavezno
nag_alphaneobavezno
nag_endneobavezno
image_urlobavezno
image
change_map_image_urlobavezno
strengthneobavezno
Parametri datoteka prihvaćaju javni https:// URL, data: URI do 10 MB ili file_url prenesene datoteke. Datoteke
Izlaz
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "flux-general/differential-diffusion",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 138,
"usd": "0.138",
"charged": 138,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"change_map_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"output": {
"images": [
{
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"width": 1024,
"height": 768,
"content_type": "image/jpeg"
}
],
"timings": {},
"seed": 42,
"has_nsfw_concepts": [
false
],
"prompt": "string"
},
"outputs": [
{
"type": "image",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Polja izlaza
- images
- array of object {url, width, height, content_type}Podaci o datotekama generiranih slika.
- timings
- object
- seed
- integerSeed za generiranje slike, uključujući nasumično odabranu vrijednost ako je u ulazu seed izostavljen; u suprotnom ponavlja zadanu vrijednost.
- has_nsfw_concepts
- array of booleanPokazuje pojavljuju li se NSFW koncepti u generiranim slikama.
- prompt
- stringPrompt korišten tijekom generiranja slike.
Druge varijante modela FLUX.1 [dev] with Controlnets and Loras
Više modela: Uređivanje slika
Za AI agente: ova je stranica u Markdownu dostupna na https://doitong.com/hr/developers/models/flux-general/differential-diffusion.md. Svi modeli i vodiči: https://doitong.com/developers/llms.txt






