Fooocus Upscale or Vary
Integrate
fooocus/upscale-or-vary
# 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/fooocus/upscale-or-vary?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"uov_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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/fooocus/upscale-or-vary?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"uov_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"uov_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/fooocus/upscale-or-vary", 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/en-US/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": "fooocus/upscale-or-vary",
"input": {
"uov_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
}
Call the Fooocus Upscale or Vary model (fooocus/upscale-or-vary) through the Doitong API. Docs for agents: https://doitong.com/en-US/developers/models/fooocus/upscale-or-vary.md
POST https://api.doitong.com/v1/run/fooocus/upscale-or-vary?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"uov_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
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/fooocus/upscale-or-vary with the same body returns the exact price before the run.
This request: ≈$0.007 7 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.
Your first result goes here
Build a request below and run it with your API key. Outputs are copied to our storage, kept forever or 7 days for free.
Build a request
Controls are generated from the model schema. The code and the price update as you change them.
/run/fooocus/upscale-or-vary?wait=20
quote → $0.007
# 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/fooocus/upscale-or-vary?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"uov_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.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/fooocus/upscale-or-vary?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"uov_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"uov_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/fooocus/upscale-or-vary", 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": "fooocus/upscale-or-vary",
"input": {
"uov_image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"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 Fooocus Upscale or Vary
Takes a source image as `uov_image_url` and applies `uov_method`: Vary (Subtle), Vary (Strong), Upscale (1.5x), Upscale (2x) or Upscale (Fast 2x). The default is Vary (Strong). A `prompt`, styles, LoRAs and optional image prompts can steer the result, and 1 to 4 images are returned.
Parameters
Send either the canonical name or the native name, not both. Canonical names
promptoptional
negative_promptoptional
stylesoptional
performanceoptional
guidance_scaleoptional
sharpnessoptional
aspect_ratiooptional
num_imagesoptional
num_outputs
lorasoptional
loras[].pathrequired
loras[].scaleoptional
refiner_modeloptional
refiner_switchoptional
output_formatoptional
seedoptional
uov_image_urlrequired
uov_methodoptional
image_prompt_1optional
image_prompt_1.typeoptional
image_prompt_1.image_urloptional
image_prompt_1.stop_atoptional
image_prompt_1.weightoptional
image_prompt_2optional
image_prompt_2.typeoptional
image_prompt_2.image_urloptional
image_prompt_2.stop_atoptional
image_prompt_2.weightoptional
image_prompt_3optional
image_prompt_3.typeoptional
image_prompt_3.image_urloptional
image_prompt_3.stop_atoptional
image_prompt_3.weightoptional
image_prompt_4optional
image_prompt_4.typeoptional
image_prompt_4.image_urloptional
image_prompt_4.stop_atoptional
image_prompt_4.weightoptional
mixing_image_prompt_and_vary_upscaleoptional
enable_safety_checkeroptional
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": "fooocus/upscale-or-vary",
"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": 7,
"usd": "0.007",
"charged": 7,
"refunded": 0
},
"input": {
"uov_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",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200,
"width": 1024,
"height": 768
}
],
"timings": {},
"has_nsfw_concepts": [
false
]
},
"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"
}
}
Fields of output
- images
- array of object {url, content_type, file_name, file_size, width, height}File information for the generated image.
- timings
- objectElapsed time for generation.
- has_nsfw_concepts
- array of booleanIndicates whether NSFW concepts appear in the generated images.
Other Fooocus variants
More models: Upscale
For AI agents: this page as Markdown is at https://doitong.com/en-US/developers/models/fooocus/upscale-or-vary.md. All models and guides: https://doitong.com/developers/llms.txt