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andyx1976 /qwenunif:6a2f80cd

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
Prompt for generated image
enhance_prompt
boolean
False
Append a high-detail suffix to the prompt.
lora_weights
string
Load LoRA weights. Supports local .safetensors paths or ZIPs produced by cog train.
replicate_weights
string
LoRA ZIP generated by cog train (alternate to lora_weights).
lora_scale
number
1
Determines how strongly the loaded LoRA should be applied.
image
string
Optional guide image for img2img.
strength
number
0.9

Max: 1

Strength for img2img pipeline
negative_prompt
string
Negative prompt for generated image
aspect_ratio
None
16:9
Aspect ratio for the generated image
image_size
None
optimize_for_quality
Image size preset (quality = larger, speed = faster).
go_fast
boolean
True
Run faster predictions with aggressive caching.
num_inference_steps
integer
30

Min: 1

Max: 50

Number of denoising steps (1–50).
guidance
number
3

Max: 10

Guidance for generated image (0-10).
seed
integer
Random seed. Leave blank for random.
output_format
None
webp
Format of the output images
output_quality
integer
80

Max: 100

Quality when saving lossy images (0-100).
disable_safety_checker
boolean
False
Disable safety checker (not used).

Output schema

The shape of the response you’ll get when you run this model with an API.

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