izzaanel/betia πΌοΈπ’βπβ β πΌοΈ
About
Example Output
Prompt:
"Ultra-realistic scene at a busy airport terminal. Bet a slim tired-looking mother with messy hair and casual, slightly worn clothing is pushing a large stroller with a baby and with another hand she is carring several suitcases and bags, while her young children stay close to her. The stroller is bulky and overfilled, with colorful luggage piled up, showing a chaotic travel moment. The motherβs expression reflects exhaustion and stress from traveling with kids. The airport background shows check-in counters, people walking, and signage, with realistic lighting and atmosphere."
Output
Performance Metrics
8.65s
Prediction Time
8.76s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "Ultra-realistic scene at a busy airport terminal. Bet a slim tired-looking mother with messy hair and casual, slightly worn clothing is pushing a large stroller with a baby and with another hand she is carring several suitcases and bags, while her young children stay close to her. The stroller is bulky and overfilled, with colorful luggage piled up, showing a chaotic travel moment. The motherβs expression reflects exhaustion and stress from traveling with kids. The airport background shows check-in counters, people walking, and signage, with realistic lighting and atmosphere.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"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
free=25806516985856 Downloading weights 2025-07-30T12:54:29Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmprs8ig_b6/weights url=https://replicate.delivery/xezq/89yOxsHJrMZJMNB5ewM6VFcyEQKXgNzfHSScBipEePF3apLqA/trained_model.tar 2025-07-30T12:54:29Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-07-30T12:54:29Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/89yOxsHJrMZJMNB5ewM6VFcyEQKXgNzfHSScBipEePF3apLqA/trained_model.tar url=https://replicate.delivery/xezq/89yOxsHJrMZJMNB5ewM6VFcyEQKXgNzfHSScBipEePF3apLqA/trained_model.tar 2025-07-30T12:54:29Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/37aa2e0e54b8ba267d89b5843cd077c4bc06a35812947e6fab2bf7c2ccadd97c?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250730%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250730T125429Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=ddc05ba930dacbb5e8f7a2cd0b64cd1db622f8374e33e685218dcbee566dd47b url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/89yOxsHJrMZJMNB5ewM6VFcyEQKXgNzfHSScBipEePF3apLqA/trained_model.tar 2025-07-30T12:54:29Z | INFO | [ Complete ] dest=/tmp/tmprs8ig_b6/weights size="172 MB" total_elapsed=0.343s url=https://replicate.delivery/xezq/89yOxsHJrMZJMNB5ewM6VFcyEQKXgNzfHSScBipEePF3apLqA/trained_model.tar Downloaded weights in 0.41s Loaded LoRAs in 1.02s Using seed: 57538 Prompt: Ultra-realistic scene at a busy airport terminal. Bet a slim tired-looking mother with messy hair and casual, slightly worn clothing is pushing a large stroller with a baby and with another hand she is carring several suitcases and bags, while her young children stay close to her. The stroller is bulky and overfilled, with colorful luggage piled up, showing a chaotic travel moment. The motherβs expression reflects exhaustion and stress from traveling with kids. The airport background shows check-in counters, people walking, and signage, with realistic lighting and atmosphere. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|β | 1/28 [00:00<00:07, 3.78it/s] 7%|β | 2/28 [00:00<00:06, 4.29it/s] 11%|β | 3/28 [00:00<00:06, 4.05it/s] 14%|ββ | 4/28 [00:01<00:06, 3.94it/s] 18%|ββ | 5/28 [00:01<00:05, 3.89it/s] 21%|βββ | 6/28 [00:01<00:05, 3.86it/s] 25%|βββ | 7/28 [00:01<00:05, 3.84it/s] 29%|βββ | 8/28 [00:02<00:05, 3.83it/s] 32%|ββββ | 9/28 [00:02<00:04, 3.82it/s] 36%|ββββ | 10/28 [00:02<00:04, 3.82it/s] 39%|ββββ | 11/28 [00:02<00:04, 3.81it/s] 43%|βββββ | 12/28 [00:03<00:04, 3.81it/s] 46%|βββββ | 13/28 [00:03<00:03, 3.81it/s] 50%|βββββ | 14/28 [00:03<00:03, 3.81it/s] 54%|ββββββ | 15/28 [00:03<00:03, 3.80it/s] 57%|ββββββ | 16/28 [00:04<00:03, 3.80it/s] 61%|ββββββ | 17/28 [00:04<00:02, 3.80it/s] 64%|βββββββ | 18/28 [00:04<00:02, 3.80it/s] 68%|βββββββ | 19/28 [00:04<00:02, 3.80it/s] 71%|ββββββββ | 20/28 [00:05<00:02, 3.80it/s] 75%|ββββββββ | 21/28 [00:05<00:01, 3.80it/s] 79%|ββββββββ | 22/28 [00:05<00:01, 3.80it/s] 82%|βββββββββ | 23/28 [00:05<00:01, 3.80it/s] 86%|βββββββββ | 24/28 [00:06<00:01, 3.80it/s] 89%|βββββββββ | 25/28 [00:06<00:00, 3.80it/s] 93%|ββββββββββ| 26/28 [00:06<00:00, 3.80it/s] 96%|ββββββββββ| 27/28 [00:07<00:00, 3.80it/s] 100%|ββββββββββ| 28/28 [00:07<00:00, 3.80it/s] 100%|ββββββββββ| 28/28 [00:07<00:00, 3.83it/s] Total safe images: 1 out of 1
Version Details
- Version ID
cf6ebd6365656db3e6f55ab66444a8c144e960298905dadebb976816ed62451b- Version Created
- July 30, 2025