michocop/elena 🖼️🔢❓📝✓ → 🖼️
About
Example Output
"Ultra-realistic headshot of a young woman named Elenaedhec, aged 20 standing in a sunlit, high-end corporate office with floor-to-ceiling windows and soft background bokeh. She wears a perfectly tailored dark navy blazer over a minimalist white silk blouse, no visible logos. Her posture is relaxed yet assertive, with arms gently crossed or hands lightly in front. Her long, brushed chestnut or brunette hair flows naturally, with subtle waves. She has clear skin with soft, natural makeup that enhances her features without exaggeration. Her expression is calm, confident, and intelligent — radiating leadership, warmth, and charisma. DSLR-quality photo with ultra-sharp focus on the eyes, soft natural lighting on the face, and a shallow depth of field. The mood is premium, timeless, professional — ideal for a top-tier LinkedIn profile photo, C-suite profile, or magazine feature."
Output
Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "Ultra-realistic headshot of a young woman named Elenaedhec, aged 20 standing in a sunlit, high-end corporate office with floor-to-ceiling windows and soft background bokeh. She wears a perfectly tailored dark navy blazer over a minimalist white silk blouse, no visible logos. Her posture is relaxed yet assertive, with arms gently crossed or hands lightly in front. Her long, brushed chestnut or brunette hair flows naturally, with subtle waves. She has clear skin with soft, natural makeup that enhances her features without exaggeration. Her expression is calm, confident, and intelligent — radiating leadership, warmth, and charisma. DSLR-quality photo with ultra-sharp focus on the eyes, soft natural lighting on the face, and a shallow depth of field. The mood is premium, timeless, professional — ideal for a top-tier LinkedIn profile photo, C-suite profile, or magazine feature.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "5:4",
"output_format": "webp",
"guidance_scale": 2,
"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
free=27483468402688 Downloading weights 2025-05-20T20:27:49Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4555x447/weights url=https://replicate.delivery/xezq/e58W7jaTfagv20GGLgPtEr5Gd4smGql1Hi7Sqcw1Qtm2UpuUA/trained_model.tar 2025-05-20T20:27:49Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-20T20:27:52Z | INFO | [ Complete ] dest=/tmp/tmp4555x447/weights size="172 MB" total_elapsed=2.631s url=https://replicate.delivery/xezq/e58W7jaTfagv20GGLgPtEr5Gd4smGql1Hi7Sqcw1Qtm2UpuUA/trained_model.tar Downloaded weights in 2.65s Loaded LoRAs in 3.24s Using seed: 64951 Prompt: Ultra-realistic headshot of a young woman named Elenaedhec, aged 20 standing in a sunlit, high-end corporate office with floor-to-ceiling windows and soft background bokeh. She wears a perfectly tailored dark navy blazer over a minimalist white silk blouse, no visible logos. Her posture is relaxed yet assertive, with arms gently crossed or hands lightly in front. Her long, brushed chestnut or brunette hair flows naturally, with subtle waves. She has clear skin with soft, natural makeup that enhances her features without exaggeration. Her expression is calm, confident, and intelligent — radiating leadership, warmth, and charisma. DSLR-quality photo with ultra-sharp focus on the eyes, soft natural lighting on the face, and a shallow depth of field. The mood is premium, timeless, professional — ideal for a top-tier LinkedIn profile photo, C-suite profile, or magazine feature. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.03it/s] 7%|▋ | 2/28 [00:00<00:05, 4.54it/s] 11%|█ | 3/28 [00:00<00:05, 4.31it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.20it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.13it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.11it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.08it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.07it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.06it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.05it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.04it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.04it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.05it/s] 50%|█████ | 14/28 [00:03<00:03, 4.04it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.04it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.04it/s] 61%|██████ | 17/28 [00:04<00:02, 4.04it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.04it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.04it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.04it/s] 75%|███████▌ | 21/28 [00:05<00:01, 4.04it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.04it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.04it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.03it/s] 89%|████████▉ | 25/28 [00:06<00:00, 4.03it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.03it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.04it/s] 100%|██████████| 28/28 [00:06<00:00, 4.04it/s] 100%|██████████| 28/28 [00:06<00:00, 4.07it/s] Total safe images: 1 out of 1
Version Details
- Version ID
ae966d4c02574629f56d97cb80bfc405f7d7739c37e916e7fd4b3244892664e5- Version Created
- May 20, 2025