baoliwaters/sector_mvtdetectorphoto πΌοΈπ’βπβ β πΌοΈ
About
Example Output
"
A high-end commercial-style photo of a luxurious living room at night. The space features white walls, elegant built-in lighting, and refined furnishings: a dark designer couch, a sculptural floor lamp, a minimalist coffee table, and a potted plant in a ceramic planter. Soft warm light creates moody contrast without obscuring details.
In the doorway, a man dressed in black holds a flashlight, his beam illuminating part of the room. He appears focused, scanning the area.
sectorMvtDetectorPhoto motion detectors are Mounted discreetly in the upper corner of the walls and above the door. From it, a precise glowing red thin laser beam scans the space, visibly locking onto the manβs chest. The laser glow adds tension, suggesting detection.
The entire scene is sharp, realistic, and composed like a premium security system advertisement β with cinematic contrast, soft shadows, and no exaggerated action.
cinematic, KODAK VISION3 500T Film style, 52197219 cinematic style
"Output



Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "A high-end commercial-style photo of a luxurious living room at night. The space features white walls, elegant built-in lighting, and refined furnishings: a dark designer couch, a sculptural floor lamp, a minimalist coffee table, and a potted plant in a ceramic planter. Soft warm light creates moody contrast without obscuring details.\nIn the doorway, a man dressed in black holds a flashlight, his beam illuminating part of the room. He appears focused, scanning the area.\nsectorMvtDetectorPhoto motion detectors are Mounted discreetly in the upper corner of the walls and above the door. From it, a precise glowing red thin laser beam scans the space, visibly locking onto the manβs chest. The laser glow adds tension, suggesting detection.\nThe entire scene is sharp, realistic, and composed like a premium security system advertisement β with cinematic contrast, soft shadows, and no exaggerated action.\n\n\ncinematic, KODAK VISION3 500T Film style, 52197219 cinematic style",
"go_fast": false,
"extra_lora": "https://civitai.com/api/download/models/1659875?type=Model&format=SafeTensor&token=a71d847ee43d71bb00b7ed11cad1d126",
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "5:4",
"output_format": "png",
"guidance_scale": 3,
"output_quality": 100,
"prompt_strength": 0.85,
"extra_lora_scale": 0.95,
"num_inference_steps": 35
}
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=28332474703872 Downloading weights 2025-05-16T21:34:28Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmptl4bqv5t/weights url=https://replicate.delivery/xezq/HB6DrTDL8XI4CN0l6JueKmnfE4uAwE8Tu9c8diL9jE2nyusUA/trained_model.tar 2025-05-16T21:34:28Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-16T21:34:31Z | INFO | [ Complete ] dest=/tmp/tmptl4bqv5t/weights size="172 MB" total_elapsed=2.723s url=https://replicate.delivery/xezq/HB6DrTDL8XI4CN0l6JueKmnfE4uAwE8Tu9c8diL9jE2nyusUA/trained_model.tar Downloaded weights in 2.74s free=28332303380480 Downloading weights 2025-05-16T21:34:31Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/9e9f2bb282345ace url=https://civitai.com/api/download/models/1659875?type=Model&format=SafeTensor&token=a71d847ee43d71bb00b7ed11cad1d126 2025-05-16T21:34:31Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-16T21:34:32Z | INFO | [ Redirect ] redirect_url=https://civitai-delivery-worker-prod.5ac0637cfd0766c97916cefa3764fbdf.r2.cloudflarestorage.com/model/1269491/cinematic20shadow20pattern.OarS.safetensors?X-Amz-Expires=86400&response-content-disposition=attachment%3B%20filename%3D%22cinematic%20shadow%20pattern%20style%20v1%20-%20cucoloris%20v2.safetensors%22&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=e01358d793ad6966166af8b3064953ad/20250516/us-east-1/s3/aws4_request&X-Amz-Date=20250516T213432Z&X-Amz-SignedHeaders=host&X-Amz-Signature=9684733f62dde0b0e8c9a6c938e0c721f08044651e14e77155dc5c5d73899f60 url=https://civitai.com/api/download/models/1659875?type=Model&format=SafeTensor&token=a71d847ee43d71bb00b7ed11cad1d126 2025-05-16T21:34:34Z | INFO | [ Complete ] dest=/src/weights-cache/9e9f2bb282345ace size="306 MB" total_elapsed=2.759s url=https://civitai.com/api/download/models/1659875?type=Model&format=SafeTensor&token=a71d847ee43d71bb00b7ed11cad1d126 Downloaded weights in 2.78s Loaded LoRAs in 6.83s Using seed: 64679 Prompt: A high-end commercial-style photo of a luxurious living room at night. The space features white walls, elegant built-in lighting, and refined furnishings: a dark designer couch, a sculptural floor lamp, a minimalist coffee table, and a potted plant in a ceramic planter. Soft warm light creates moody contrast without obscuring details. In the doorway, a man dressed in black holds a flashlight, his beam illuminating part of the room. He appears focused, scanning the area. sectorMvtDetectorPhoto motion detectors are Mounted discreetly in the upper corner of the walls and above the door. From it, a precise glowing red thin laser beam scans the space, visibly locking onto the manβs chest. The laser glow adds tension, suggesting detection. The entire scene is sharp, realistic, and composed like a premium security system advertisement β with cinematic contrast, soft shadows, and no exaggerated action. cinematic, KODAK VISION3 500T Film style, 52197219 cinematic style [!] txt2img mode 0%| | 0/35 [00:00<?, ?it/s] 3%|β | 1/35 [00:01<00:36, 1.07s/it] 6%|β | 2/35 [00:01<00:31, 1.05it/s] 9%|β | 3/35 [00:02<00:31, 1.03it/s] 11%|ββ | 4/35 [00:03<00:30, 1.02it/s] 14%|ββ | 5/35 [00:04<00:29, 1.01it/s] 17%|ββ | 6/35 [00:05<00:28, 1.01it/s] 20%|ββ | 7/35 [00:06<00:27, 1.00it/s] 23%|βββ | 8/35 [00:07<00:26, 1.00it/s] 26%|βββ | 9/35 [00:08<00:26, 1.00s/it] 29%|βββ | 10/35 [00:09<00:25, 1.00s/it] 31%|ββββ | 11/35 [00:10<00:24, 1.00s/it] 34%|ββββ | 12/35 [00:11<00:23, 1.00s/it] 37%|ββββ | 13/35 [00:12<00:22, 1.00s/it] 40%|ββββ | 14/35 [00:13<00:21, 1.00s/it] 43%|βββββ | 15/35 [00:14<00:20, 1.00s/it] 46%|βββββ | 16/35 [00:15<00:19, 1.00s/it] 49%|βββββ | 17/35 [00:16<00:18, 1.00s/it] 51%|ββββββ | 18/35 [00:17<00:17, 1.00s/it] 54%|ββββββ | 19/35 [00:19<00:16, 1.00s/it] 57%|ββββββ | 20/35 [00:20<00:15, 1.00s/it] 60%|ββββββ | 21/35 [00:21<00:14, 1.01s/it] 63%|βββββββ | 22/35 [00:22<00:13, 1.01s/it] 66%|βββββββ | 23/35 [00:23<00:12, 1.01s/it] 69%|βββββββ | 24/35 [00:24<00:11, 1.01s/it] 71%|ββββββββ | 25/35 [00:25<00:10, 1.00s/it] 74%|ββββββββ | 26/35 [00:26<00:09, 1.01s/it] 77%|ββββββββ | 27/35 [00:27<00:08, 1.01s/it] 80%|ββββββββ | 28/35 [00:28<00:07, 1.01s/it] 83%|βββββββββ | 29/35 [00:29<00:06, 1.01s/it] 86%|βββββββββ | 30/35 [00:30<00:05, 1.01s/it] 89%|βββββββββ | 31/35 [00:31<00:04, 1.01s/it] 91%|ββββββββββ| 32/35 [00:32<00:03, 1.01s/it] 94%|ββββββββββ| 33/35 [00:33<00:02, 1.01s/it] 97%|ββββββββββ| 34/35 [00:34<00:01, 1.01s/it] 100%|ββββββββββ| 35/35 [00:35<00:00, 1.01s/it] 100%|ββββββββββ| 35/35 [00:35<00:00, 1.00s/it] Total safe images: 4 out of 4
Version Details
- Version ID
842cda14d324d0ba02fd06f0238b6f6568040ba5d5bc6081b8d860dfdc80136e- Version Created
- May 15, 2025