Flux 3 Action
Integrate
flux-3-action/so101
# 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-3-action/so101?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",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-3-action/so101?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02,
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-3-action/so101", 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/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-3-action/so101",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02
]
}
}
Call the Flux 3 Action model (flux-3-action/so101) through the Doitong API. Docs for agents: https://doitong.com/developers/models/flux-3-action/so101.md
POST https://api.doitong.com/v1/run/flux-3-action/so101?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",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02
]
}
If the response status is "queued" or "running", poll GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20 until it is "succeeded"; the files are in outputs[].url. POST https://api.doitong.com/v1/quote/flux-3-action/so101 with the same body returns the exact price before the run.
This request: ≈$0.003 3 API credits Run it on this page
Your new API key. It is shown only now and is already in the code and in the API key field below. Keep it secret: never put it in code that runs in a browser.
Made on Doitong
Public works made with Flux 3 Action by the Doitong community. Reuse a prompt in one click.
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,...
Build a request
Controls are generated from the model schema. The code and the price update as you change them.
/run/flux-3-action/so101?wait=20
quote → $0.003
# 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-3-action/so101?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",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02
]
}'
# 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 $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-3-action/so101?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02
]
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + 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",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02,
],
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/flux-3-action/so101", 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-3-action/so101",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02
]
},
"wait_seconds": 20
}
}
}
Run this request
Your key stays in this browser: it is sent only to the Doitong API and saved (localStorage) only if you tick Remember. Get an API key
About Flux 3 Action
Instead of media, this returns JSON with predicted `actions`, their control rate, column labels, and how many leading steps to execute (`execute_steps`) before requesting a new chunk. Required inputs are a text `prompt` (up to 2000 characters), `scene_image_url`, `wrist_image_url`, and a 6-value `state`. Optional history inputs (`state_history`, `command_history`, history images) give temporal context. `num_inference_steps` runs 1 to 8 and `guidance_scale` 1 to 10.
Parameters
promptrequired
scene_image_urlrequired
wrist_image_urlrequired
staterequired
state_historyoptional
command_historyoptional
history_scene_image_urloptional
history_wrist_image_urloptional
num_inference_stepsoptional
guidance_scaleoptional
seedoptional
File parameters take a public https:// URL, a data: URI up to 10 MB, or the file_url of an upload. Files
Output
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "flux-3-action/so101",
"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": 3,
"usd": "0.003",
"charged": 3,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"scene_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"wrist_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
"state": [
-18.94,
134.52,
120.15,
28.3,
-32.17,
27.02
]
},
"output": {
"actions": [
[
1.0
]
],
"action_labels": [
"string"
],
"action_hz": 1.0,
"execute_steps": 1,
"seed": 42,
"timings": {}
},
"outputs": [
{
"type": "file",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"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"
}
}
Fields of output
- actions
- array of array of numberPredicted action array with chronological rows representing control steps; values are unclipped, so joint, velocity, and workspace limits must be enforced on the robot. At 30 Hz, SO-101 provides 42x6 absolute commands in deg and gripper %; at 15 Hz, DROID provides 32x8 absolute joint targets in rad plus the gripper's closed fraction.
- action_labels
- array of stringNames corresponding to the action columns.
- action_hz
- numberControl frequency for the action rows.
- execute_steps
- integerNumber of initial actions to execute before requesting another chunk.
- seed
- integerRandom seed used during sampling.
- timings
- objectTiming measurements from the server, expressed in seconds.
More models: Video to Video
For AI agents: this page as Markdown is at https://doitong.com/developers/models/flux-3-action/so101.md. All models and guides: https://doitong.com/developers/llms.txt