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usamaehsan /qwen-image-edit-2511-lab:c6994c20

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
0

Max: 1536.0

Side of the square area the reference is resized to for the VAE (its tokens join the transformer sequence). 0 = output long side (exact_size: 1024). 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
native
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.

Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}