valeritarasova1106/sokolovski 🖼️🔢❓📝✓ → 🖼️

▶️ 177 runs 📅 May 2025 ⚙️ Cog 0.14.3

About

Example Output

Prompt:

"sokolovski, a close-up cinematic portrait of a man with short slicked-back dirty blonde hair, trimmed dark beard and mustache, light blue expressive eyes, wearing a black minimalist shirt, soft natural lighting, high-detail skin texture, cinematic shallow depth of field, neutral gray background, moody editorial style, high-fashion photo studio setup, natural male beauty, 85mm lens look --ar 2:3 --v 6 --style raw --quality 2 --s 200"

Output

Performance Metrics

9.81s Prediction Time

9.83s Total Time

All Input Parameters

{
  "image": "https://replicate.delivery/pbxt/N2WK7tL607f84S1zIGQTujPEh6gV7JRQm6W79TzitrlWqiIF/IMG_9123%20%281%29.JPG",
  "model": "dev",
  "prompt": "sokolovski, a close-up cinematic portrait of a man with short slicked-back dirty blonde hair, trimmed dark beard and mustache, light blue expressive eyes, wearing a black minimalist shirt, soft natural lighting, high-detail skin texture, cinematic shallow depth of field, neutral gray background, moody editorial style, high-fashion photo studio setup, natural male beauty, 85mm lens look --ar 2:3 --v 6 --style raw --quality 2 --s 200",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "9:16",
  "output_format": "png",
  "guidance_scale": 3,
  "output_quality": 80,
  "prompt_strength": 0.8,
  "extra_lora_scale": 1,
  "num_inference_steps": 28
}

Input Parameters

mask Type: string: Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
seed Type: integer: Random seed. Set for reproducible generation
image Type: string: Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
model Default: dev: Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.
width Type: integerRange: 256 - 1440: Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
height Type: integerRange: 256 - 1440: Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
prompt (required) Type: string: Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
go_fast Type: booleanDefault: false: Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
extra_lora Type: string: Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
lora_scale Type: numberDefault: 1Range: -1 - 3: Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
megapixels Default: 1: Approximate number of megapixels for generated image
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of outputs to generate
aspect_ratio Default: 1:1: Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
output_format Default: webp: Format of the output images
guidance_scale Type: numberDefault: 3Range: 0 - 10: Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
output_quality Type: integerDefault: 80Range: 0 - 100: Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
prompt_strength Type: numberDefault: 0.8Range: 0 - 1: Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
extra_lora_scale Type: numberDefault: 1Range: -1 - 3: Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
replicate_weights Type: string: Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
num_inference_steps Type: integerDefault: 28Range: 1 - 50: Number of denoising steps. More steps can give more detailed images, but take longer.
disable_safety_checker Type: booleanDefault: false: Disable safety checker for generated images.

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

Weights already loaded
Loaded LoRAs in 0.03s
Using seed: 2029
Prompt: sokolovski, a close-up cinematic portrait of a man with short slicked-back dirty blonde hair, trimmed dark beard and mustache, light blue expressive eyes, wearing a black minimalist shirt, soft natural lighting, high-detail skin texture, cinematic shallow depth of field, neutral gray background, moody editorial style, high-fashion photo studio setup, natural male beauty, 85mm lens look --ar 2:3 --v 6 --style raw --quality 2 --s 200
Input image size: 1080x1350
[!] Resizing input image from 1080x1350 to 1088x1360
[!] img2img mode
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Total safe images: 1 out of 1

Version Details

Version ID: 793e7b3b87baf7f2262731015fac46062fb308dcfc3606f4a15a33a5f7597ae4
Version Created: May 20, 2025

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