iguatemijr89/iguatemijradv 🖼️🔢❓📝✓ → 🖼️
About
Example Output
"
Use the following reference images to create a dramatic only black and white colors portrait of a young Brazilian lawyer known as iguatemijradv, preserving exact facial features, skin texture, and micro-expressions. Maintain realistic human proportions, especially a natural and proportional ratio between head and body (head proportion to neck and hands on fibonacci scale). Preserve fine facial details such as pores, light under-eye lines, subtle texture, and natural expressions — enhancing realism and authenticity.
Apply subtle facial alignment correction only where necessary: gently balance minor asymmetries (such as slight swelling or disproportion between sides of the face), while fully retaining the original facial identity, contours, and natural details. Do not smooth or overly idealize — just refine symmetry for a balanced, professional appearance.
He is seated confidently on a wooden stool inside a minimalist, dark-toned studio with clean, matte textures. The lighting is soft but directional, casting gentle shadows that define his structured jawline, thick eyebrows, almond-shaped medium brown eyes, and full, well-groomed beard. His facial expression is calm, composed, and slightly intense — lips closed, gaze directly into the camera.
He wears a tailored, all-black modern suit with a fitted black shirt underneath — no tie, top button open. A discreet silver watch peeks slightly from his sleeve. His posture exudes calm confidence: one forearm resting on his thigh, the other hand in his trouser pocket.
Background is a smooth, moody black-to-dark-grey gradient, clean and free of visual distractions, enhancing the cinematic and editorial atmosphere. The image must capture a sense of professional identity, introspection, and silent power. Shot in a 4:5 vertical portrait ratio, simulating a Canon EOS R5 + 85mm f/1.2 lens, set at f/2, ISO 100, 1/125s shutter speed, 4K UHD. No surreal effects or softening filters. Just clean, bold, and unmistakably real.
"Output



Performance Metrics
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/NNG1OEo2bm6uTCoiWJri7ftw7GhuOlegnU58Lm5jwSvdW6VD/enhanced_ChatGPT%20Image%2017%20de%20jul-%20de%202025%2011_23_17%20%281%29.png",
"model": "dev",
"prompt": "Use the following reference images to create a dramatic only black and white colors portrait of a young Brazilian lawyer known as iguatemijradv, preserving exact facial features, skin texture, and micro-expressions. Maintain realistic human proportions, especially a natural and proportional ratio between head and body (head proportion to neck and hands on fibonacci scale). Preserve fine facial details such as pores, light under-eye lines, subtle texture, and natural expressions — enhancing realism and authenticity.\n\nApply subtle facial alignment correction only where necessary: gently balance minor asymmetries (such as slight swelling or disproportion between sides of the face), while fully retaining the original facial identity, contours, and natural details. Do not smooth or overly idealize — just refine symmetry for a balanced, professional appearance.\n\nHe is seated confidently on a wooden stool inside a minimalist, dark-toned studio with clean, matte textures. The lighting is soft but directional, casting gentle shadows that define his structured jawline, thick eyebrows, almond-shaped medium brown eyes, and full, well-groomed beard. His facial expression is calm, composed, and slightly intense — lips closed, gaze directly into the camera.\n\nHe wears a tailored, all-black modern suit with a fitted black shirt underneath — no tie, top button open. A discreet silver watch peeks slightly from his sleeve. His posture exudes calm confidence: one forearm resting on his thigh, the other hand in his trouser pocket.\n\nBackground is a smooth, moody black-to-dark-grey gradient, clean and free of visual distractions, enhancing the cinematic and editorial atmosphere. The image must capture a sense of professional identity, introspection, and silent power. Shot in a 4:5 vertical portrait ratio, simulating a Canon EOS R5 + 85mm f/1.2 lens, set at f/2, ISO 100, 1/125s shutter speed, 4K UHD. No surreal effects or softening filters. Just clean, bold, and unmistakably real.\n\n",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "4:5",
"output_format": "png",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 28
}
Input Parameters
- mask
- Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- seed
- Random seed. Set for reproducible generation
- image
- Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- model
- 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
- 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
- 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)
- 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
- Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
- extra_lora
- 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
- 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
- Approximate number of megapixels for generated image
- num_outputs
- Number of outputs to generate
- aspect_ratio
- Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
- output_format
- Format of the output images
- guidance_scale
- 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
- 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
- Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
- extra_lora_scale
- 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
- 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
- Number of denoising steps. More steps can give more detailed images, but take longer.
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
Loaded LoRAs in 0.57s Using seed: 45270 Prompt: Use the following reference images to create a dramatic only black and white colors portrait of a young Brazilian lawyer known as iguatemijradv, preserving exact facial features, skin texture, and micro-expressions. Maintain realistic human proportions, especially a natural and proportional ratio between head and body (head proportion to neck and hands on fibonacci scale). Preserve fine facial details such as pores, light under-eye lines, subtle texture, and natural expressions — enhancing realism and authenticity. Apply subtle facial alignment correction only where necessary: gently balance minor asymmetries (such as slight swelling or disproportion between sides of the face), while fully retaining the original facial identity, contours, and natural details. Do not smooth or overly idealize — just refine symmetry for a balanced, professional appearance. He is seated confidently on a wooden stool inside a minimalist, dark-toned studio with clean, matte textures. The lighting is soft but directional, casting gentle shadows that define his structured jawline, thick eyebrows, almond-shaped medium brown eyes, and full, well-groomed beard. His facial expression is calm, composed, and slightly intense — lips closed, gaze directly into the camera. He wears a tailored, all-black modern suit with a fitted black shirt underneath — no tie, top button open. A discreet silver watch peeks slightly from his sleeve. His posture exudes calm confidence: one forearm resting on his thigh, the other hand in his trouser pocket. Background is a smooth, moody black-to-dark-grey gradient, clean and free of visual distractions, enhancing the cinematic and editorial atmosphere. The image must capture a sense of professional identity, introspection, and silent power. Shot in a 4:5 vertical portrait ratio, simulating a Canon EOS R5 + 85mm f/1.2 lens, set at f/2, ISO 100, 1/125s shutter speed, 4K UHD. No surreal effects or softening filters. Just clean, bold, and unmistakably real. Input image size: 5456x8192 [!] Resizing input image from 5456x8192 to 960x1440 [!] img2img mode 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:23, 1.06s/it] 9%|▊ | 2/23 [00:02<00:25, 1.21s/it] 13%|█▎ | 3/23 [00:03<00:25, 1.26s/it] 17%|█▋ | 4/23 [00:05<00:24, 1.28s/it] 22%|██▏ | 5/23 [00:06<00:23, 1.30s/it] 26%|██▌ | 6/23 [00:07<00:22, 1.31s/it] 30%|███ | 7/23 [00:08<00:21, 1.31s/it] 35%|███▍ | 8/23 [00:10<00:19, 1.32s/it] 39%|███▉ | 9/23 [00:11<00:18, 1.32s/it] 43%|████▎ | 10/23 [00:12<00:17, 1.32s/it] 48%|████▊ | 11/23 [00:14<00:15, 1.32s/it] 52%|█████▏ | 12/23 [00:15<00:14, 1.32s/it] 57%|█████▋ | 13/23 [00:16<00:13, 1.32s/it] 61%|██████ | 14/23 [00:18<00:11, 1.32s/it] 65%|██████▌ | 15/23 [00:19<00:10, 1.32s/it] 70%|██████▉ | 16/23 [00:20<00:09, 1.32s/it] 74%|███████▍ | 17/23 [00:22<00:07, 1.32s/it] 78%|███████▊ | 18/23 [00:23<00:06, 1.32s/it] 83%|████████▎ | 19/23 [00:24<00:05, 1.32s/it] 87%|████████▋ | 20/23 [00:26<00:03, 1.32s/it] 91%|█████████▏| 21/23 [00:27<00:02, 1.32s/it] 96%|█████████▌| 22/23 [00:28<00:01, 1.32s/it] 100%|██████████| 23/23 [00:30<00:00, 1.32s/it] 100%|██████████| 23/23 [00:30<00:00, 1.31s/it] Total safe images: 4 out of 4
Version Details
- Version ID
a5e79d671a5e1516a5814a8eac17939bd23d3e6c73d5790c7a5fd7e0aef6435e- Version Created
- May 19, 2025