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usamaehsan /qwen-image-edit-2511-lab:9ca625b4
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
Edit instruction
|
|
| image |
array
|
Reference image(s) as data: URIs
|
|
| width |
integer
|
Min: 256.0 Max: 1536.0 |
Output width, /16
|
| height |
integer
|
Min: 256.0 Max: 1536.0 |
Output height, /16
|
| num_inference_steps |
integer
|
0
Max: 12.0 |
0 = backend default (fp8: 4, nunchaku: 8)
|
| ref_size |
integer
|
1024
Min: 256.0 Max: 1536.0 |
Side of the square area the reference is resized to for the VAE (its tokens join the transformer sequence). Stock: 1024
|
| cond_size |
integer
|
384
Min: 128.0 Max: 768.0 |
Side of the area the reference is resized to for the text encoder's vision tower. Stock: 384
|
| attention |
None
|
sage
|
None
|
| seed |
integer
|
None
|
|
| output_format |
None
|
jpg
|
None
|
| output_quality |
integer
|
90
Min: 1.0 Max: 100.0 |
None
|
| exact_size |
boolean
|
False
|
Use width/height/ref_size/cond_size exactly as given instead of snapping to the compiled size set. Runs the uncompiled transformer, so it is slower per step but never compiles
|
| build_cache |
boolean
|
False
|
Maintenance only: compile the warm size set and return the inductor cache as a tar instead of an image
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'format': 'uri', 'title': 'Output', 'type': 'string'}