richards630620/ilariaacc 🖼️🔢❓📝✓ → 🖼️

▶️ 17 runs 📅 Aug 2025 ⚙️ Cog 0.13.6
image-to-image lora lora-person text-to-image

About

Example Output

Prompt:

"Ilariaacc with her blonde hair wearing black PVC leggings, black high heels and a white blouse shown in profile leaning on a railing"

Output

Example outputExample outputExample outputExample output

Performance Metrics

36.86s Prediction Time
36.87s Total Time
All Input Parameters
{
  "image": "https://replicate.delivery/pbxt/NYtSUpYFHYMEnL7p8Ol0oKqMdwNuEBbhVlbDjAt0aIoxXfXh/leggings%20%284%20of%205%29.jpg",
  "model": "dev",
  "prompt": "Ilariaacc with her blonde hair wearing black PVC leggings, black high heels and a white blouse shown in profile leaning on a railing",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 4,
  "aspect_ratio": "1:1",
  "output_format": "jpg",
  "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: arrayItems Type: stringItems Format: uri

Example Execution Logs
Weights already loaded
Loaded LoRAs in 0.02s
Using seed: 50372
Prompt: Ilariaacc with her blonde hair wearing black PVC leggings, black high heels and a white blouse shown in profile leaning on a railing
Input image size: 1125x1459
[!] Resizing input image from 1125x1459 to 1120x1440
[!] img2img mode
  0%|          | 0/23 [00:00<?, ?it/s]
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 13%|█▎        | 3/23 [00:04<00:29,  1.48s/it]
 17%|█▋        | 4/23 [00:05<00:28,  1.51s/it]
 22%|██▏       | 5/23 [00:07<00:27,  1.53s/it]
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 30%|███       | 7/23 [00:10<00:24,  1.54s/it]
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 39%|███▉      | 9/23 [00:13<00:21,  1.54s/it]
 43%|████▎     | 10/23 [00:15<00:20,  1.55s/it]
 48%|████▊     | 11/23 [00:16<00:18,  1.55s/it]
 52%|█████▏    | 12/23 [00:18<00:17,  1.55s/it]
 57%|█████▋    | 13/23 [00:19<00:15,  1.55s/it]
 61%|██████    | 14/23 [00:21<00:13,  1.55s/it]
 65%|██████▌   | 15/23 [00:22<00:12,  1.55s/it]
 70%|██████▉   | 16/23 [00:24<00:10,  1.55s/it]
 74%|███████▍  | 17/23 [00:26<00:09,  1.55s/it]
 78%|███████▊  | 18/23 [00:27<00:07,  1.55s/it]
 83%|████████▎ | 19/23 [00:29<00:06,  1.56s/it]
 87%|████████▋ | 20/23 [00:30<00:04,  1.56s/it]
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 96%|█████████▌| 22/23 [00:33<00:01,  1.56s/it]
100%|██████████| 23/23 [00:35<00:00,  1.56s/it]
100%|██████████| 23/23 [00:35<00:00,  1.54s/it]
Total safe images: 4 out of 4
Version Details
Version ID
a9add247c873d706f6dab2e7b90514b697e70396e1f2a31f6dac2d4487709f89
Version Created
August 19, 2025
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