asfia1r/me πŸ–ΌοΈπŸ”’β“πŸ“βœ“ β†’ πŸ–ΌοΈ

▢️ 155 runs πŸ“… Jun 2025 βš™οΈ Cog 0.13.6
image-to-image lora lora-person text-to-image

About

Example Output

Prompt:

"meAnalyze the uploaded photo of me carefully: assess my skin tone (warm/cool/neutral, light/medium/deep), undertones, hair color and texture, eye color, body shape (e.g., pear, hourglass, athletic), height proportions, and overall vibe (e.g., soft, bold, elegant). Based on this, create a highly flattering full-body portrait prompt for a Pakistani-style pastel salwar kameez outfit that gives me a radiant 'glow-up'β€”choosing soft pastel colors that harmonize with my complexion (e.g., blush for warm tones, mint for cool, lavender for neutral to make my skin pop without washing me out). Suggest subtle, modern designs like delicate embroidery, lace borders, or chikankari that complement my features and elongate my silhouette for confidence. Include flowing straight hair styled to frame my face beautifully, simple accessories that enhance without overwhelming, and soft golden-hour lighting for an empowering, fresh look. Output the final detailed prompt in photorealistic style, high-resolution, ready for image generation."

Output

Example output

Performance Metrics

8.38s Prediction Time
8.51s Total Time
All Input Parameters
{
  "image": "https://replicate.delivery/pbxt/Nr424PPKeBIFb9ocutFKEYBieAeLDmTAsjS33O2eTwLHMySc/340e31557d9c8d459ef0394ae2878d52.jpg",
  "model": "dev",
  "prompt": "meAnalyze the uploaded photo of me carefully: assess my skin tone (warm/cool/neutral, light/medium/deep), undertones, hair color and texture, eye color, body shape (e.g., pear, hourglass, athletic), height proportions, and overall vibe (e.g., soft, bold, elegant). Based on this, create a highly flattering full-body portrait prompt for a Pakistani-style pastel salwar kameez outfit that gives me a radiant 'glow-up'β€”choosing soft pastel colors that harmonize with my complexion (e.g., blush for warm tones, mint for cool, lavender for neutral to make my skin pop without washing me out). Suggest subtle, modern designs like delicate embroidery, lace borders, or chikankari that complement my features and elongate my silhouette for confidence. Include flowing straight hair styled to frame my face beautifully, simple accessories that enhance without overwhelming, and soft golden-hour lighting for an empowering, fresh look. Output the final detailed prompt in photorealistic style, high-resolution, ready for image generation.",
  "go_fast": false,
  "lora_scale": 1,
  "megapixels": "1",
  "num_outputs": 1,
  "aspect_ratio": "1:1",
  "output_format": "webp",
  "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 β€’ Items Type: string β€’ Items Format: uri

Example Execution Logs
free=23619891003392
Downloading weights
2025-10-09T14:19:28Z | INFO  | [ Initiating ] chunk_size=150M dest=/tmp/tmpina335z1/weights url=https://replicate.delivery/xezq/80Xjzt6cF34WLFvxxTyeUXnZQpfvdb4d7IL5FqdISk7BciaVA/flux-lora.tar
2025-10-09T14:19:28Z | INFO  | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local
2025-10-09T14:19:28Z | INFO  | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/80Xjzt6cF34WLFvxxTyeUXnZQpfvdb4d7IL5FqdISk7BciaVA/flux-lora.tar url=https://replicate.delivery/xezq/80Xjzt6cF34WLFvxxTyeUXnZQpfvdb4d7IL5FqdISk7BciaVA/flux-lora.tar
2025-10-09T14:19:28Z | INFO  | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/cf85cb9fd730250e069d804cc183c7317ca796182035cac71af149360aecaf9c?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20251009%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20251009T141928Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=1867da545dd2d26d259c316495f4d5619760642e2f33645dd848276a01d70d8f url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/80Xjzt6cF34WLFvxxTyeUXnZQpfvdb4d7IL5FqdISk7BciaVA/flux-lora.tar
2025-10-09T14:19:28Z | INFO  | [ Complete ] dest=/tmp/tmpina335z1/weights size="172 MB" total_elapsed=0.233s url=https://replicate.delivery/xezq/80Xjzt6cF34WLFvxxTyeUXnZQpfvdb4d7IL5FqdISk7BciaVA/flux-lora.tar
Downloaded weights in 0.29s
Loaded LoRAs in 0.79s
Using seed: 45952
Prompt: meAnalyze the uploaded photo of me carefully: assess my skin tone (warm/cool/neutral, light/medium/deep), undertones, hair color and texture, eye color, body shape (e.g., pear, hourglass, athletic), height proportions, and overall vibe (e.g., soft, bold, elegant). Based on this, create a highly flattering full-body portrait prompt for a Pakistani-style pastel salwar kameez outfit that gives me a radiant 'glow-up'β€”choosing soft pastel colors that harmonize with my complexion (e.g., blush for warm tones, mint for cool, lavender for neutral to make my skin pop without washing me out). Suggest subtle, modern designs like delicate embroidery, lace borders, or chikankari that complement my features and elongate my silhouette for confidence. Include flowing straight hair styled to frame my face beautifully, simple accessories that enhance without overwhelming, and soft golden-hour lighting for an empowering, fresh look. Output the final detailed prompt in photorealistic style, high-resolution, ready for image generation.
Input image size: 736x1308
[!] Resizing input image from 736x1308 to 736x1312
[!] img2img mode
  0%|          | 0/23 [00:00<?, ?it/s]
  4%|▍         | 1/23 [00:00<00:04,  5.06it/s]
  9%|β–Š         | 2/23 [00:00<00:04,  4.43it/s]
 13%|β–ˆβ–Ž        | 3/23 [00:00<00:04,  4.26it/s]
 17%|β–ˆβ–‹        | 4/23 [00:00<00:04,  4.18it/s]
 22%|β–ˆβ–ˆβ–       | 5/23 [00:01<00:04,  4.14it/s]
 26%|β–ˆβ–ˆβ–Œ       | 6/23 [00:01<00:04,  4.12it/s]
 30%|β–ˆβ–ˆβ–ˆ       | 7/23 [00:01<00:03,  4.10it/s]
 35%|β–ˆβ–ˆβ–ˆβ–      | 8/23 [00:01<00:03,  4.09it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 9/23 [00:02<00:03,  4.08it/s]
 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 10/23 [00:02<00:03,  4.08it/s]
 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 11/23 [00:02<00:02,  4.08it/s]
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 12/23 [00:02<00:02,  4.08it/s]
 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 13/23 [00:03<00:02,  4.08it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 14/23 [00:03<00:02,  4.07it/s]
 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 15/23 [00:03<00:01,  4.07it/s]
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 16/23 [00:03<00:01,  4.07it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 17/23 [00:04<00:01,  4.08it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 18/23 [00:04<00:01,  4.07it/s]
 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/23 [00:04<00:00,  4.07it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/23 [00:04<00:00,  4.07it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 21/23 [00:05<00:00,  4.07it/s]
 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 22/23 [00:05<00:00,  4.07it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 23/23 [00:05<00:00,  4.07it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 23/23 [00:05<00:00,  4.11it/s]
Total safe images: 1 out of 1
Version Details
Version ID
50e9b82143c5a32e2373e064839b8169749df861c109fd239e9c71eebbc684d1
Version Created
October 23, 2025
Run on Replicate β†’