Try Qwen Image Edit Max in the Workbench
Run this model interactively, tune parameters, and compare outputs.
qwen-image-edit-max
Qwen Image Edit Max is Alibaba’s closed image editing model. It follows natural-language instructions to modify, restyle, or combine up to three input images while preserving the identity of people and products.
The output keeps the aspect ratio of the last input image by default, with total pixels close to 1024x1024, and any side can be set from 512 to 2048 pixels. It can return up to six candidates per call. It suits object removal and replacement, background changes, style transfer, and multi-image composition such as placing a product from one image into a scene from another.
Weights are not published.
| Metric | Value |
|---|---|
| Max Resolution | 2048 per side |
| Multilingual | Yes (Chinese, English) |
Example request
Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.
- Sync
- Async
- Async with SSE
See the image editing reference for more details.
- Minimal
- All parameters
curl -X POST https://hub.oxen.ai/api/ai/images/edit \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
]
}'
import os
import requests
response = requests.post(
"https://hub.oxen.ai/api/ai/images/edit",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
},
json={
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
]
},
)
response.raise_for_status()
print(response.json())
curl -X POST https://hub.oxen.ai/api/ai/images/edit \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
],
"aspect_ratio": "auto",
"num_images": 1,
"enable_prompt_expansion": true,
"watermark": false
}'
import os
import requests
response = requests.post(
"https://hub.oxen.ai/api/ai/images/edit",
headers={
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
},
json={
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
],
"aspect_ratio": "auto",
"num_images": 1,
"enable_prompt_expansion": true,
"watermark": false
},
)
response.raise_for_status()
print(response.json())
See the async queue reference for more details.
- Minimal
- All parameters
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
]
}' | jq -r '.generations[0].generation_id')
# Poll until the generation reaches a terminal status.
while true; do
STATUS=$(curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq -r '.status')
echo "Status: $STATUS"
case $STATUS in succeeded|failed|cancelled) break;; esac
sleep 5
done
# Print the result.
curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq .
import os
import time
import requests
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers=HEADERS,
json={
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
]
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
while True:
data = requests.get(
f"https://hub.oxen.ai/api/ai/queue/{generation_id}",
headers=HEADERS,
).json()
if data["status"] in {"succeeded", "failed", "cancelled"}:
break
time.sleep(5)
if data["status"] == "succeeded":
print(f"Result: {data['result_url']}")
else:
print(f"Generation {data['status']}: {data.get('error_message')}")
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
],
"aspect_ratio": "auto",
"num_images": 1,
"enable_prompt_expansion": true,
"watermark": false
}' | jq -r '.generations[0].generation_id')
# Poll until the generation reaches a terminal status.
while true; do
STATUS=$(curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq -r '.status')
echo "Status: $STATUS"
case $STATUS in succeeded|failed|cancelled) break;; esac
sleep 5
done
# Print the result.
curl -s -H "Authorization: Bearer $OXEN_API_KEY" \
"https://hub.oxen.ai/api/ai/queue/$GEN_ID" | jq .
import os
import time
import requests
HEADERS = {
"Content-Type": "application/json",
"Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers=HEADERS,
json={
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
],
"aspect_ratio": "auto",
"num_images": 1,
"enable_prompt_expansion": true,
"watermark": false
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
while True:
data = requests.get(
f"https://hub.oxen.ai/api/ai/queue/{generation_id}",
headers=HEADERS,
).json()
if data["status"] in {"succeeded", "failed", "cancelled"}:
break
time.sleep(5)
if data["status"] == "succeeded":
print(f"Result: {data['result_url']}")
else:
print(f"Generation {data['status']}: {data.get('error_message')}")
See the async queue reference for more details.
- Minimal
- All parameters
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
]
}' | jq -r '.generations[0].generation_id')
# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
| awk -v id="$GEN_ID" '
/^event: media_generation_completed$/ { expect=1; next }
/^data: / && expect {
payload = substr($0, 7)
if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
expect = 0
}
' | jq .
import json
import os
import requests
API_KEY = os.environ["OXEN_API_KEY"]
AUTH = {"Authorization": f"Bearer {API_KEY}"}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers={**AUTH, "Content-Type": "application/json"},
json={
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
]
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
with requests.get(
"https://hub.oxen.ai/api/events",
headers=AUTH,
stream=True,
) as stream:
event_name = None
for line in stream.iter_lines(decode_unicode=True):
if line.startswith("event: "):
event_name = line.removeprefix("event: ")
elif line.startswith("data: ") and event_name == "media_generation_completed":
payload = json.loads(line.removeprefix("data: "))
if payload.get("generation_id") == generation_id:
print(payload)
break
# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OXEN_API_KEY" \
-d '{
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
],
"aspect_ratio": "auto",
"num_images": 1,
"enable_prompt_expansion": true,
"watermark": false
}' | jq -r '.generations[0].generation_id')
# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
| awk -v id="$GEN_ID" '
/^event: media_generation_completed$/ { expect=1; next }
/^data: / && expect {
payload = substr($0, 7)
if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
expect = 0
}
' | jq .
import json
import os
import requests
API_KEY = os.environ["OXEN_API_KEY"]
AUTH = {"Authorization": f"Bearer {API_KEY}"}
enqueue = requests.post(
"https://hub.oxen.ai/api/ai/queue",
headers={**AUTH, "Content-Type": "application/json"},
json={
"model": "qwen-image-edit-max",
"prompt": "<prompt>",
"input_images": [
"https://hub.oxen.ai/api/repos/elau/assets/file/main/bloxy/bloxy_cropped_512x512.png"
],
"aspect_ratio": "auto",
"num_images": 1,
"enable_prompt_expansion": true,
"watermark": false
},
)
enqueue.raise_for_status()
generation_id = enqueue.json()["generations"][0]["generation_id"]
with requests.get(
"https://hub.oxen.ai/api/events",
headers=AUTH,
stream=True,
) as stream:
event_name = None
for line in stream.iter_lines(decode_unicode=True):
if line.startswith("event: "):
event_name = line.removeprefix("event: ")
elif line.startswith("data: ") and event_name == "media_generation_completed":
payload = json.loads(line.removeprefix("data: "))
if payload.get("generation_id") == generation_id:
print(payload)
break
Fetch model details
The models endpoint returns the full model object, including itsjson_request_schema.
curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/qwen-image-edit-max
Request parameters
Required parameters
| Field | Type | Default | Description |
|---|---|---|---|
prompt | string | — | Text prompt describing the image to generate, or the edit to apply. Use @Image1, @Image2, etc. to reference the input images. |
input_images | array<string> | — | Input images to edit or combine. The output keeps the aspect ratio of the last image unless an aspect ratio is chosen. Reference them in the prompt as @Image1, @Image2, etc. Up to 3 images. |
Optional parameters
| Field | Type | Default | Description |
|---|---|---|---|
aspect_ratio | string | "auto" | Aspect Ratio One of: auto, 16:9, 9:16, 1:1, 4:3, 3:4. |
num_images | integer | 1 | Number of images to generate, 1 to 6. Only the first is returned; all are billed. Range: 1 – 6. |
enable_prompt_expansion | boolean | true | Let the model rewrite the prompt with more detail before rendering. Turn off for tighter control over the wording. |
negative_prompt | string | — | What to keep out of the image. Up to 500 characters. |
seed | integer | — | Seed for reproducible generation, 0 to 2147483647. Results can still vary between runs. |
watermark | boolean | false | Add an AI-generated watermark in the bottom-right corner. |