lucataco/ssd-1b
Segmind Stable Diffusion Model (SSD-1B) is a distilled 50% smaller version of SDXL, offering a 60% speedup while maintaining high-quality text-to-image generation capabilities
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
apply_watermark | boolean | Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking. | true | — |
batched_prompt | boolean | When active, your prompt will be split by newlines and images will be generated for each individual line | false | — |
disable_safety_checker | boolean | Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety | false | — |
guidance_scale | number | Scale for classifier-free guidance | 7.5 | min: 1, max: 50 |
height | integer | Height of output image | 768 | — |
image | string (uri) | Input image for img2img or inpaint mode | — | — |
lora_scale | number | LoRA additive scale. Only applicable on trained models. | 0.6 | min: 0, max: 1 |
mask | string (uri) | Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted. | — | — |
negative_prompt | string | Negative Input prompt | "scary, cartoon, painting" | — |
num_inference_steps | integer | Number of denoising steps | 25 | min: 1, max: 500 |
num_outputs | integer | Number of images to output. | 1 | min: 1, max: 4 |
prompt | string | Input prompt | "with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background" | — |
prompt_strength | number | Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image | 0.8 | min: 0, max: 1 |
replicate_weights | string | Replicate LoRA weights to use. Leave blank to use the default weights. | — | — |
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 | — | — |
width | integer | Width of output image | 768 | — |
apply_watermark boolean Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
true batched_prompt boolean When active, your prompt will be split by newlines and images will be generated for each individual line
false disable_safety_checker boolean Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety
false guidance_scale number Scale for classifier-free guidance
7.5 min: 1, max: 50 height integer Height of output image
768 image string Input image for img2img or inpaint mode
lora_scale number LoRA additive scale. Only applicable on trained models.
0.6 min: 0, max: 1 mask string Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
negative_prompt string Negative Input prompt
"scary, cartoon, painting" num_inference_steps integer Number of denoising steps
25 min: 1, max: 500 num_outputs integer Number of images to output.
1 min: 1, max: 4 prompt string Input prompt
"with smoke, half ice and half fire and ultra realistic in detail.wolf, typography, dark fantasy, wildlife photography, vibrant, cinematic and on a black background" prompt_strength number Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
0.8 min: 0, max: 1 replicate_weights string Replicate LoRA weights to use. Leave blank to use the default weights.
scheduler string scheduler
"K_EULER" seed integer Random seed. Leave blank to randomize the seed
width integer Width of output image
768 b19e3639452c Updated: 2/26/2026 1.0M runs
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