FLUX.1 [dev] with Controlnets and Loras · Rf Inversion
Integrera
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.com/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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-general/rf-inversion?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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/sv/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/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"
}
}
Anropa modellen FLUX.1 [dev] with Controlnets and Loras · Rf Inversion (flux-general/rf-inversion) via Doitong API. Dokumentation för agenter: https://doitong.com/sv/developers/models/flux-general/rf-inversion.md
POST https://api.doitong.com/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"
}
Om svarsstatusen är "queued" eller "running" ska du polla GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 tills den är "succeeded"; filerna finns i outputs[].url. POST https://api.doitong.com/v1/quote/flux-general/rf-inversion med samma body returnerar det exakta priset före körningen.
Den här begäran: ≈0,025 $ 25 API-krediter Kör den på den här sidan
Din nya API-nyckel. Den visas bara nu och finns redan i koden och i API-nyckelfältet nedan. Håll den hemlig: lägg aldrig in den i kod som körs i en webbläsare.
Skapat på Doitong
Offentliga verk skapade med FLUX.1 [dev] with Controlnets and Loras av Doitong-communityt. Återanvänd en prompt med ett klick.
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,...
Skapa en begäran
Kontrollerna genereras från modellschemat. Koden och priset uppdateras när du ändrar dem.
/run/flux-general/rf-inversion?wait=20
pris → 0,025 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-general/rf-inversion?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/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
}
}
}
Kör den här begäran
Din nyckel stannar i den här webbläsaren: den skickas endast till Doitong API och sparas endast i localStorage om du markerar Kom ihåg. Hämta en API-nyckel
Om FLUX.1 [dev] with Controlnets and Loras · Rf Inversion
Redigerar bilden vid `image_url` enligt en `prompt` med RF-Inversion-pipelinen, som utgår från originalbilden i stället för brus. LoRAs, kontroll-LoRAs, ControlNets och en referensbild kan läggas till, och NAG-inställningarna (`nag_scale`, `nag_tau`, `nag_alpha`, `nag_end`) finjusterar styrningen med negativa prompter.
Parametrar
Skicka antingen det kanoniska namnet eller det inbyggda namnet, inte båda. Kanoniska namn
promptobligatoriskt
image_sizevalfritt
num_inference_stepsvalfritt
seedvalfritt
lorasvalfritt
loras[].pathobligatoriskt
loras[].scalevalfritt
control_lorasvalfritt
control_loras[].pathobligatoriskt
control_loras[].scalevalfritt
control_loras[].control_image_urlobligatoriskt
control_loras[].preprocessvalfritt
controlnetsvalfritt
controlnets[].pathobligatoriskt
controlnets[].config_urlvalfritt
controlnets[].variantvalfritt
controlnets[].control_image_urlobligatoriskt
controlnets[].mask_image_urlvalfritt
controlnets[].mask_thresholdvalfritt
controlnets[].conditioning_scalevalfritt
controlnets[].start_percentagevalfritt
controlnets[].end_percentagevalfritt
controlnet_unionsvalfritt
controlnet_unions[].pathobligatoriskt
controlnet_unions[].config_urlvalfritt
controlnet_unions[].variantvalfritt
controlnet_unions[].controlsobligatoriskt
controlnet_unions[].controls[].control_image_urlobligatoriskt
controlnet_unions[].controls[].mask_image_urlvalfritt
controlnet_unions[].controls[].control_modeobligatoriskt
controlnet_unions[].controls[].conditioning_scalevalfritt
controlnet_unions[].controls[].mask_thresholdvalfritt
controlnet_unions[].controls[].start_percentagevalfritt
controlnet_unions[].controls[].end_percentagevalfritt
easycontrolsvalfritt
easycontrols[].control_method_urlobligatoriskt
easycontrols[].scalevalfritt
easycontrols[].image_urlobligatoriskt
easycontrols[].image_control_typeobligatoriskt
fill_imagevalfritt
fill_image.fill_image_urlvalfritt
guidance_scalevalfritt
use_cfg_zerovalfritt
num_imagesvalfritt
num_outputs
enable_safety_checkervalfritt
reference_image_urlvalfritt
reference_strengthvalfritt
reference_startvalfritt
reference_endvalfritt
base_shiftvalfritt
max_shiftvalfritt
output_formatvalfritt
use_beta_schedulevalfritt
sigma_schedulevalfritt
schedulervalfritt
negative_promptvalfritt
nag_scalevalfritt
nag_tauvalfritt
nag_alphavalfritt
nag_endvalfritt
image_urlobligatoriskt
image
controller_guidance_forwardvalfritt
controller_guidance_reversevalfritt
reverse_guidance_startvalfritt
reverse_guidance_endvalfritt
reverse_guidance_schedulevalfritt
Filparametrar tar emot en offentlig https://-URL, en data:-URI på upp till 10 MB eller file_url från en uppladdning. Filer
Resultat
{
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Resultatets fält
- images
- array of object {url, width, height, content_type}Filinformation för de genererade bilderna.
- timings
- object
- seed
- integerSeed för bildgenerering, inklusive det slumpmässigt valda värdet om indata saknade seed; annars upprepas det angivna värdet.
- has_nsfw_concepts
- array of booleanAnger om NSFW-koncept förekommer i de genererade bilderna.
- prompt
- stringPrompt som används under bildgenereringen.
Andra FLUX.1 [dev] with Controlnets and Loras-varianter
Fler modeller: Bildredigering
För AI-agenter: den här sidan som Markdown finns på https://doitong.com/sv/developers/models/flux-general/rf-inversion.md. Alla modeller och guider: https://doitong.com/developers/llms.txt






