FLUX.1 [dev] with Controlnets and Loras · Rf Inversion
Integroi
flux-general/rf-inversion
# 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/rf-inversion?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"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-general/rf-inversion?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-general/rf-inversion", 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/fi/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/rf-inversion",
"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"
}
}
Kutsu mallia FLUX.1 [dev] with Controlnets and Loras · Rf Inversion (flux-general/rf-inversion) Doitong API:n kautta. Dokumentaatio agenteille: https://doitong.com/fi/developers/models/flux-general/rf-inversion.md
POST https://api.doitong.ru/v1/run/flux-general/rf-inversion?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"
}
Jos vastauksen tila on "queued" tai "running", kysy GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 uudelleen, kunnes tila on "succeeded"; tiedostot ovat kohteessa outputs[].url. POST https://api.doitong.ru/v1/quote/flux-general/rf-inversion samalla rungolla palauttaa tarkan hinnan ennen suorittamista.
Tämä pyyntö: ≈0,025 $ 25 API-krediittiä · ≈ 2,64 ₽ Suorita tällä sivulla
Uusi API-avaimesi. Se näytetään vain nyt, ja se on jo koodissa ja alla olevassa API-avainkentässä. Pidä se salassa: älä koskaan lisää sitä selaimessa suoritettavaan koodiin.
Tehty Doitongilla
Doitong-yhteisön FLUX.1 [dev] with Controlnets and Loras-mallilla tekemät julkiset työt. Käytä kehotetta uudelleen yhdellä napsautuksella.
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,...
Muodosta pyyntö
Säätimet luodaan mallin skeemasta. Koodi ja hinta päivittyvät, kun muutat arvoja.
/run/flux-general/rf-inversion?wait=20
hinta → 0,025 $
# 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/rf-inversion?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"
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-general/rf-inversion?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-general/rf-inversion", 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/rf-inversion",
"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"
},
"wait_seconds": 20
}
}
}
Suorita tämä pyyntö
Avaimesi säilyy tässä selaimessa: se lähetetään vain Doitong APIlle ja tallennetaan localStorageen vain, jos valitset Muista. Hanki API-avain
Tietoja: FLUX.1 [dev] with Controlnets and Loras · Rf Inversion
Muokkaa osoitteessa `image_url` olevaa kuvaa `prompt`-arvon mukaan RF-Inversion-putkella, joka käyttää alkuperäistä kuvaa melun sijaan lähtökohtana. Mukaan voi lisätä LoRA-, kontrolli-LoRA- ja ControlNet-arvoja sekä referenssikuvan, ja NAG-asetukset (`nag_scale`, `nag_tau`, `nag_alpha`, `nag_end`) säätävät negatiivisen promptin ohjausta.
Parametrit
Lähetä joko kanoninen nimi tai natiivi nimi, älä molempia. Kanoniset nimet
promptpakollinen
image_sizevalinnainen
num_inference_stepsvalinnainen
seedvalinnainen
lorasvalinnainen
loras[].pathpakollinen
loras[].scalevalinnainen
control_lorasvalinnainen
control_loras[].pathpakollinen
control_loras[].scalevalinnainen
control_loras[].control_image_urlpakollinen
control_loras[].preprocessvalinnainen
controlnetsvalinnainen
controlnets[].pathpakollinen
controlnets[].config_urlvalinnainen
controlnets[].variantvalinnainen
controlnets[].control_image_urlpakollinen
controlnets[].mask_image_urlvalinnainen
controlnets[].mask_thresholdvalinnainen
controlnets[].conditioning_scalevalinnainen
controlnets[].start_percentagevalinnainen
controlnets[].end_percentagevalinnainen
controlnet_unionsvalinnainen
controlnet_unions[].pathpakollinen
controlnet_unions[].config_urlvalinnainen
controlnet_unions[].variantvalinnainen
controlnet_unions[].controlspakollinen
controlnet_unions[].controls[].control_image_urlpakollinen
controlnet_unions[].controls[].mask_image_urlvalinnainen
controlnet_unions[].controls[].control_modepakollinen
controlnet_unions[].controls[].conditioning_scalevalinnainen
controlnet_unions[].controls[].mask_thresholdvalinnainen
controlnet_unions[].controls[].start_percentagevalinnainen
controlnet_unions[].controls[].end_percentagevalinnainen
easycontrolsvalinnainen
easycontrols[].control_method_urlpakollinen
easycontrols[].scalevalinnainen
easycontrols[].image_urlpakollinen
easycontrols[].image_control_typepakollinen
fill_imagevalinnainen
fill_image.fill_image_urlvalinnainen
guidance_scalevalinnainen
use_cfg_zerovalinnainen
num_imagesvalinnainen
num_outputs
enable_safety_checkervalinnainen
reference_image_urlvalinnainen
reference_strengthvalinnainen
reference_startvalinnainen
reference_endvalinnainen
base_shiftvalinnainen
max_shiftvalinnainen
output_formatvalinnainen
use_beta_schedulevalinnainen
sigma_schedulevalinnainen
schedulervalinnainen
negative_promptvalinnainen
nag_scalevalinnainen
nag_tauvalinnainen
nag_alphavalinnainen
nag_endvalinnainen
image_urlpakollinen
image
controller_guidance_forwardvalinnainen
controller_guidance_reversevalinnainen
reverse_guidance_startvalinnainen
reverse_guidance_endvalinnainen
reverse_guidance_schedulevalinnainen
Tiedostoparametrit hyväksyvät julkisen https://-URL:n, enintään 10 MB:n data:-URI:n tai lähetyksen file_url-arvon. Tiedostot
Tulos
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "flux-general/rf-inversion",
"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": 25,
"usd": "0.025",
"charged": 25,
"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"
},
"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"
}
}
Tuloksen kentät
- images
- array of object {url, width, height, content_type}Generoitujen kuvien tiedostotiedot.
- timings
- object
- seed
- integerKuvageneroinnin siemen, mukaan lukien satunnaisesti valittu arvo, jos syötteessä ei annettu siementä; muuten annettu arvo toistetaan.
- has_nsfw_concepts
- array of booleanIlmaisee, esiintyykö generoiduissa kuvissa NSFW-sisältöä.
- prompt
- stringKuvan generoinnissa käytettävä kehote.
Muut FLUX.1 [dev] with Controlnets and Loras-muunnelmat
Lisää malleja: Kuvan muokkaus
Tekoälyagenteille: tämän sivun Markdown-muoto on osoitteessa https://doitong.com/fi/developers/models/flux-general/rf-inversion.md. Kaikki mallit ja oppaat: https://doitong.com/developers/llms.txt






