cinemasetfree.com
fofr/latent-consistency-model
Super-fast, 0.6s per image. LCM with img2img, large batching and canny controlnet
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
archive_outputs | boolean | Option to archive the output images | false | — |
canny_high_threshold | number | Canny high threshold | 200 | min: 1, max: 255 |
canny_low_threshold | number | Canny low threshold | 100 | min: 1, max: 255 |
control_guidance_end | number | Controlnet end | 1 | min: 0, max: 1 |
control_guidance_start | number | Controlnet start | 0 | min: 0, max: 1 |
control_image | string (uri) | Image for controlnet conditioning | — | — |
controlnet_conditioning_scale | number | Controlnet conditioning scale | 2 | min: 0.1, max: 4 |
disable_safety_checker | boolean | Disable safety checker for generated images. This feature is only available through the API | false | — |
guidance_scale | number | Scale for classifier-free guidance | 8 | min: 1, max: 20 |
height | integer | Height of output image. Lower if out of memory | 768 | — |
image | string (uri) | Input image for img2img | — | — |
lcm_origin_steps | integer | — | 50 | min: 1 |
num_images | integer | Number of images per prompt | 1 | min: 1, max: 50 |
num_inference_steps | integer | Number of denoising steps. Recommend 1 to 8 steps. | 8 | min: 1, max: 50 |
prompt | string | For multiple prompts, enter each on a new line. | "Self-portrait oil painting, a beautiful cyborg with golden hair, 8k" | — |
prompt_strength | number | Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image | 0.8 | min: 0, max: 1 |
seed | integer | Random seed. Leave blank to randomize the seed | — | — |
sizing_strategy | string | Decide how to resize images – use width/height, resize based on input image or control image | "width/height" | width/height input_image control_image |
width | integer | Width of output image. Lower if out of memory | 768 | — |
archive_outputs boolean Option to archive the output images
false canny_high_threshold number Canny high threshold
200 min: 1, max: 255 canny_low_threshold number Canny low threshold
100 min: 1, max: 255 control_guidance_end number Controlnet end
1 min: 0, max: 1 control_guidance_start number Controlnet start
0 min: 0, max: 1 control_image string Image for controlnet conditioning
controlnet_conditioning_scale number Controlnet conditioning scale
2 min: 0.1, max: 4 disable_safety_checker boolean Disable safety checker for generated images. This feature is only available through the API
false guidance_scale number Scale for classifier-free guidance
8 min: 1, max: 20 height integer Height of output image. Lower if out of memory
768 image string Input image for img2img
lcm_origin_steps integer 50 min: 1 num_images integer Number of images per prompt
1 min: 1, max: 50 num_inference_steps integer Number of denoising steps. Recommend 1 to 8 steps.
8 min: 1, max: 50 prompt string For multiple prompts, enter each on a new line.
"Self-portrait oil painting, a beautiful cyborg with golden hair, 8k" prompt_strength number Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
0.8 min: 0, max: 1 seed integer Random seed. Leave blank to randomize the seed
sizing_strategy string Decide how to resize images – use width/height, resize based on input image or control image
"width/height" width integer Width of output image. Lower if out of memory
768 683d19dc312f Updated: 2/26/2026 1.5M runs