janicesheridan59-hue/author 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"full body portrait of janicesheridan woman, standing in front of a light beige or warm white wall, wearing a linen blouse and tailored trousers, gentle smile, a small stack of vintage books on a side table nearby, realistic skin texture, natural pores, subtle wrinkles, lifelike detail, RAW photo, unretouched, shot on 50mm lens, f/2.8, shallow bokeh, natural color grading, professional yet approachable"
Output
Performance Metrics
8.78s
Prediction Time
8.79s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "full body portrait of janicesheridan woman, standing in front of a light beige or warm white wall, wearing a linen blouse and tailored trousers, gentle smile, a small stack of vintage books on a side table nearby, realistic skin texture, natural pores, subtle wrinkles, lifelike detail, RAW photo, unretouched, shot on 50mm lens, f/2.8, shallow bokeh, natural color grading, professional yet approachable\n\n\n\n\n\n\n\n",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 1.8,
"output_quality": 80,
"prompt_strength": 0.9,
"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=23968026693632 Downloading weights 2025-08-14T15:29:06Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpomkwylua/weights url=https://replicate.delivery/xezq/w0lIPICeCIxJEq06thlo55uwR9toIAfryUYKlJCzsijfGWVqA/flux-lora.tar 2025-08-14T15:29:06Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-08-14T15:29:06Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/w0lIPICeCIxJEq06thlo55uwR9toIAfryUYKlJCzsijfGWVqA/flux-lora.tar url=https://replicate.delivery/xezq/w0lIPICeCIxJEq06thlo55uwR9toIAfryUYKlJCzsijfGWVqA/flux-lora.tar 2025-08-14T15:29:06Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/99d893c4e5dab75ac5d5c34a5dbf47b9df418c6e4392262576dbafed5f617bab?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250814%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250814T152906Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=83bdd42f77b753516b5ca1ec5c695ad03cf6c3418a307f8c90b45207f71450f1 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/w0lIPICeCIxJEq06thlo55uwR9toIAfryUYKlJCzsijfGWVqA/flux-lora.tar 2025-08-14T15:29:07Z | INFO | [ Complete ] dest=/tmp/tmpomkwylua/weights size="172 MB" total_elapsed=0.270s url=https://replicate.delivery/xezq/w0lIPICeCIxJEq06thlo55uwR9toIAfryUYKlJCzsijfGWVqA/flux-lora.tar Downloaded weights in 0.33s Loaded LoRAs in 1.25s Using seed: 35602 Prompt: full body portrait of janicesheridan woman, standing in front of a light beige or warm white wall, wearing a linen blouse and tailored trousers, gentle smile, a small stack of vintage books on a side table nearby, realistic skin texture, natural pores, subtle wrinkles, lifelike detail, RAW photo, unretouched, shot on 50mm lens, f/2.8, shallow bokeh, natural color grading, professional yet approachable [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 3.87it/s] 7%|▋ | 2/28 [00:00<00:05, 4.38it/s] 11%|█ | 3/28 [00:00<00:06, 4.13it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.02it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.96it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.93it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.91it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.89it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.88it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.88it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.87it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.87it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s] 50%|█████ | 14/28 [00:03<00:03, 3.86it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.86it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.86it/s] 61%|██████ | 17/28 [00:04<00:02, 3.86it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.86it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.86it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.86it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.87it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.87it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.86it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.86it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.86it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.86it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.86it/s] 100%|██████████| 28/28 [00:07<00:00, 3.86it/s] 100%|██████████| 28/28 [00:07<00:00, 3.89it/s] Total safe images: 1 out of 1
Version Details
- Version ID
f99683d328675bdea44b9d885b6c7992ffef42fdcd026e5d66fd0fddae6dfd8a- Version Created
- August 13, 2025