cinemasetfree.com
zylim0702/qr_code_controlnet
ControlNet QR Code Generator: Simplify QR code creation for various needs using ControlNet's user-friendly neural interface, making integration a breeze. Just key in the url !
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
prompt * | string | Prompt for the model | — | — |
url * | string | Link Url for QR Code. | — | — |
disable_safety_check | boolean | Disable safety check. Use at your own risk! | false | — |
eta | number | Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise | 0 | — |
guess_mode | boolean | In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended. | false | — |
guidance_scale | number | Scale for classifier-free guidance | 9 | min: 0.1, max: 30 |
image_resolution | integer | Resolution of image (smallest dimension) | 768 | 256 512 768 |
negative_prompt | string | Negative prompt | "Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality" | — |
num_inference_steps | integer | Steps to run denoising | 20 | — |
num_outputs | integer | Number of images to generate | 1 | min: 1, max: 10 |
qr_conditioning_scale | number | Conditioning scale for qr controlnet | 1 | — |
scheduler | string | Choose a scheduler. | "DDIM" | DDIM DPMSolverMultistep HeunDiscrete K_EULER_ANCESTRAL K_EULER KLMS PNDM UniPCMultistep |
seed | integer | Seed | — | — |
prompt required string Prompt for the model
url required string Link Url for QR Code.
disable_safety_check boolean Disable safety check. Use at your own risk!
false eta number Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise
0 guess_mode boolean In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
false guidance_scale number Scale for classifier-free guidance
9 min: 0.1, max: 30 image_resolution integer Resolution of image (smallest dimension)
768 negative_prompt string Negative prompt
"Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality" num_inference_steps integer Steps to run denoising
20 num_outputs integer Number of images to generate
1 min: 1, max: 10 qr_conditioning_scale number Conditioning scale for qr controlnet
1 scheduler string Choose a scheduler.
"DDIM" seed integer Seed
628e604e13cf Updated: 6/8/2026 796.4K runs