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pnyompen/sd-controlnet-lora
SD1.5 Canny controlnet with LoRA support.
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
auto_generate_caption | boolean | Use BLIP to generate captions for the input images | false | — |
condition_scale | number | The bigger this number is, the more ControlNet interferes | 1.1 | min: 0, max: 2 |
generated_caption_weight | number | Weight for the generated caption | 0.5 | min: 0 |
guidance_scale | number | Scale for classifier-free guidance | 7.5 | min: 1, max: 50 |
image | string (uri) | Input image for img2img or inpaint mode | — | — |
img2img | boolean | Use img2img pipeline, it will use the image input both as the control image and the base image. | false | — |
ip_adapter_scale | number | Scale for the IP Adapter | 1 | min: 0 |
lora_scale | number | LoRA additive scale. Only applicable on trained models. | 0.95 | min: 0, max: 1 |
lora_weights | string | Replicate LoRA weights to use. Leave blank to use the default weights. | — | — |
negative_prompt | string | Input Negative Prompt | "" | — |
num_inference_steps | integer | Number of denoising steps | 30 | min: 1, max: 500 |
num_outputs | integer | Number of images to output | 1 | min: 1, max: 4 |
prompt | string | Input prompt | "An astronaut riding a rainbow unicorn" | — |
remove_bg | boolean | Remove background from the input image | false | — |
scheduler | string | scheduler | "K_EULER" | DDIM DPMSolverMultistep HeunDiscrete KarrasDPM K_EULER_ANCESTRAL K_EULER PNDM |
seed | integer | Random seed. Leave blank to randomize the seed | — | — |
strength | number | When img2img is active, the denoising strength. 1 means total destruction of the input image. | 0.8 | min: 0, max: 1 |
auto_generate_caption boolean Use BLIP to generate captions for the input images
false condition_scale number The bigger this number is, the more ControlNet interferes
1.1 min: 0, max: 2 generated_caption_weight number Weight for the generated caption
0.5 min: 0 guidance_scale number Scale for classifier-free guidance
7.5 min: 1, max: 50 image string Input image for img2img or inpaint mode
img2img boolean Use img2img pipeline, it will use the image input both as the control image and the base image.
false ip_adapter_scale number Scale for the IP Adapter
1 min: 0 lora_scale number LoRA additive scale. Only applicable on trained models.
0.95 min: 0, max: 1 lora_weights string Replicate LoRA weights to use. Leave blank to use the default weights.
negative_prompt string Input Negative Prompt
"" num_inference_steps integer Number of denoising steps
30 min: 1, max: 500 num_outputs integer Number of images to output
1 min: 1, max: 4 prompt string Input prompt
"An astronaut riding a rainbow unicorn" remove_bg boolean Remove background from the input image
false scheduler string scheduler
"K_EULER" seed integer Random seed. Leave blank to randomize the seed
strength number When img2img is active, the denoising strength. 1 means total destruction of the input image.
0.8 min: 0, max: 1 37ceaf8d4df1 Updated: 2/26/2026 548.9K runs