FLUX.1 [dev] with Controlnets and Loras · Image to Image
統合
flux-general/image-to-image
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/flux-general/image-to-image?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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-general/image-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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/image-to-image", 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/ja/developers/docs/mcp)
claude mcp add --transport http doitong-models https://vit.doitong.com/api/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "flux-general/image-to-image",
"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"
}
}
Doitong APIを通じてFLUX.1 [dev] with Controlnets and Loras · Image to Imageモデル(flux-general/image-to-image)を呼び出します。エージェント向けドキュメント: https://doitong.com/ja/developers/models/flux-general/image-to-image.md
POST https://vit.doitong.com/api/v1/run/flux-general/image-to-image?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"
}
レスポンスのステータスが"queued"または"running"の場合、"succeeded"になるまでGET https://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20をポーリングしてください。ファイルはoutputs[].urlにあります。同じボディでPOST https://vit.doitong.com/api/v1/quote/flux-general/image-to-imageを実行すると、実行前の正確な価格が返されます。
このリクエスト: ≈$0.15 150 APIクレジット このページで実行
新しいAPIキーです。 これは今だけ表示され、コードと下記のAPIキー欄にすでに入力されています。秘密にしてください。ブラウザで実行されるコードに決して含めないでください。
最初の結果がここに表示されます
以下でリクエストを作成し、APIキーで実行してください。出力はストレージにコピーされ、永久保存または無料で7日保存されます。
リクエストを作成
コントロールはモデルスキーマから生成されます。値を変更するとコードと価格が更新されます。
/run/flux-general/image-to-image?wait=20
見積もり → $0.15
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://vit.doitong.com/api/v1/run/flux-general/image-to-image?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://vit.doitong.com/api/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://vit.doitong.com/api/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/flux-general/image-to-image?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://vit.doitong.com/api/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/image-to-image", 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/image-to-image",
"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
}
}
}
FLUX.1 [dev] with Controlnets and Loras · Image to Imageについて
テキストプロンプトから既存画像を再スタイル化または変更します。`prompt`と`image_url`が必須です。LoRA、制御LoRA、ControlNet、IP-Adapter、EasyControlの入力を組み合わせて、より細かく誘導できます。ネガティブプロンプト用の`nag_scale`(1~10)、1回あたり最大10枚、1~50ステップに対応します。
パラメータ
正式名称またはネイティブ名のいずれか一方を送信してください。両方は送信しないでください。 正式名称
prompt必須
image_size任意
num_inference_steps任意
seed任意
loras任意
loras[].path必須
loras[].scale任意
control_loras任意
control_loras[].path必須
control_loras[].scale任意
control_loras[].control_image_url必須
control_loras[].preprocess任意
controlnets任意
controlnets[].path必須
controlnets[].config_url任意
controlnets[].variant任意
controlnets[].control_image_url必須
controlnets[].mask_image_url任意
controlnets[].mask_threshold任意
controlnets[].conditioning_scale任意
controlnets[].start_percentage任意
controlnets[].end_percentage任意
controlnet_unions任意
controlnet_unions[].path必須
controlnet_unions[].config_url任意
controlnet_unions[].variant任意
controlnet_unions[].controls必須
controlnet_unions[].controls[].control_image_url必須
controlnet_unions[].controls[].mask_image_url任意
controlnet_unions[].controls[].control_mode必須
controlnet_unions[].controls[].conditioning_scale任意
controlnet_unions[].controls[].mask_threshold任意
controlnet_unions[].controls[].start_percentage任意
controlnet_unions[].controls[].end_percentage任意
ip_adapters任意
ip_adapters[].path必須
ip_adapters[].subfolder任意
ip_adapters[].weight_name任意
ip_adapters[].image_encoder_path必須
ip_adapters[].image_encoder_subfolder任意
ip_adapters[].image_encoder_weight_name任意
ip_adapters[].image_url必須
ip_adapters[].mask_image_url任意
ip_adapters[].mask_threshold任意
ip_adapters[].scale必須
easycontrols任意
easycontrols[].control_method_url必須
easycontrols[].scale任意
easycontrols[].image_url必須
easycontrols[].image_control_type必須
fill_image任意
fill_image.fill_image_url任意
guidance_scale任意
real_cfg_scale任意
use_real_cfg任意
use_cfg_zero任意
num_images任意
num_outputs
enable_safety_checker任意
reference_image_url任意
reference_strength任意
reference_start任意
reference_end任意
base_shift任意
max_shift任意
output_format任意
use_beta_schedule任意
sigma_schedule任意
scheduler任意
negative_prompt任意
nag_scale任意
nag_tau任意
nag_alpha任意
nag_end任意
image_url必須
image
strength任意
ファイルパラメータには、公開されたhttps:// URL、10 MBまでのdata: URI、またはアップロードしたファイルのfile_urlを指定します。 ファイル
出力
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "flux-general/image-to-image",
"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": 150,
"usd": "0.15",
"charged": 150,
"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://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://vit.doitong.com/api/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
出力フィールド
- images
- array of object {url, width, height, content_type}生成画像のファイル情報。
- timings
- object
- seed
- integer画像生成シード。入力でシードを省略した場合はランダムに選ばれた値を含み、それ以外では指定値を繰り返します。
- has_nsfw_concepts
- array of boolean生成画像に NSFW 概念が含まれるかどうかを示します。
- prompt
- string画像生成時に使用するプロンプト。
その他のFLUX.1 [dev] with Controlnets and Lorasバリアント
その他のモデル: 画像編集
AIエージェント向け:このページのMarkdown版はこちらです: https://doitong.com/ja/developers/models/flux-general/image-to-image.md. すべてのモデルとガイド: https://doitong.com/developers/llms.txt






