schvffler/low-exposure 🖼️🔢❓📝✓ → 🖼️
About
Creates high-quality, low-exposure style images.
Example Output
Prompt:
"LowExp, photorealistic close-up of a luxurious vanity table at night, a two-tone luxury watch, black silk gloves, and premium makeup products scattered elegantly, a tall champagne glass catching faint reflections under minimal lighting, cinematic top-down composition emphasizing textures of metal, fabric, and glass, cool muted palette with soft highlights on select objects, background softly blurred, atmosphere of understated wealth, indulgence, and refined sophistication, subtle grain adding depth, minimal color distractions focusing on gold, black, and silver tones."
Output
Performance Metrics
8.83s
Prediction Time
18.66s
Total Time
All Input Parameters
{
"model": "dev",
"height": 1440,
"prompt": "LowExp, photorealistic close-up of a luxurious vanity table at night, a two-tone luxury watch, black silk gloves, and premium makeup products scattered elegantly, a tall champagne glass catching faint reflections under minimal lighting, cinematic top-down composition emphasizing textures of metal, fabric, and glass, cool muted palette with soft highlights on select objects, background softly blurred, atmosphere of understated wealth, indulgence, and refined sophistication, subtle grain adding depth, minimal color distractions focusing on gold, black, and silver tones.\n",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "9:16",
"output_format": "png",
"guidance_scale": 3,
"output_quality": 100,
"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=27309050437632 Downloading weights 2025-05-27T16:11:30Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp633qd_fu/weights url=https://replicate.delivery/xezq/SmGRdE1nU2IwOR882GOtKajNphXzkBvJ5NnNPO5qgh82QOMF/flux-lora.tar 2025-05-27T16:11:30Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-27T16:11:31Z | INFO | [ Complete ] dest=/tmp/tmp633qd_fu/weights size="172 MB" total_elapsed=0.592s url=https://replicate.delivery/xezq/SmGRdE1nU2IwOR882GOtKajNphXzkBvJ5NnNPO5qgh82QOMF/flux-lora.tar Downloaded weights in 0.61s Loaded LoRAs in 1.16s Using seed: 1200 Prompt: LowExp, photorealistic close-up of a luxurious vanity table at night, a two-tone luxury watch, black silk gloves, and premium makeup products scattered elegantly, a tall champagne glass catching faint reflections under minimal lighting, cinematic top-down composition emphasizing textures of metal, fabric, and glass, cool muted palette with soft highlights on select objects, background softly blurred, atmosphere of understated wealth, indulgence, and refined sophistication, subtle grain adding depth, minimal color distractions focusing on gold, black, and silver tones. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.85it/s] 7%|▋ | 2/28 [00:00<00:05, 4.36it/s] 11%|█ | 3/28 [00:00<00:06, 4.12it/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, 3.88it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.88it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.87it/s] 50%|█████ | 14/28 [00:03<00:03, 3.87it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.87it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.87it/s] 61%|██████ | 17/28 [00:04<00:02, 3.87it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.87it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.87it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.87it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.86it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.86it/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
730097ba324655d937f3562e2ab26e82cd552608264e7cd4b77639badcf44943- Version Created
- May 27, 2025