sergiosevilla95/ser 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
""ser, a creative professional wearing casual yet stylish attire with a modern flair, sitting comfortably in a chair in a creative studio. He is looking directly at the camera, relaxed yet focused, with a calm and professional demeanor. The background features the tools of the office, including design sketches, colorful mood boards, a laptop, and a few art supplies scattered around, but these elements remain softly blurred to emphasize Sergio as the central focus. The lighting is bright yet soft, with natural daylight filtering through large windows, creating a comfortable and energetic atmosphere in the studio. The composition highlights Sergio's calm and focused presence, surrounded by the creative environment that fuels his work.""
Output
Performance Metrics
6.44s
Prediction Time
7.17s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "\"ser, a creative professional wearing casual yet stylish attire with a modern flair, sitting comfortably in a chair in a creative studio. He is looking directly at the camera, relaxed yet focused, with a calm and professional demeanor. The background features the tools of the office, including design sketches, colorful mood boards, a laptop, and a few art supplies scattered around, but these elements remain softly blurred to emphasize Sergio as the central focus. The lighting is bright yet soft, with natural daylight filtering through large windows, creating a comfortable and energetic atmosphere in the studio. The composition highlights Sergio's calm and focused presence, surrounded by the creative environment that fuels his work.\"",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 98,
"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
2025-01-25 12:10:05.510 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-25 12:10:05.510 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2774.10it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2636.69it/s] 2025-01-25 12:10:05.626 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s 2025-01-25 12:10:05.627 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/5e219cab91040bc7 2025-01-25 12:10:05.740 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-25 12:10:05.741 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-25 12:10:05.741 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2778.77it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2640.44it/s] 2025-01-25 12:10:05.856 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s Using seed: 46842 0it [00:00, ?it/s] 1it [00:00, 8.31it/s] 2it [00:00, 5.82it/s] 3it [00:00, 5.31it/s] 4it [00:00, 5.09it/s] 5it [00:00, 4.95it/s] 6it [00:01, 4.87it/s] 7it [00:01, 4.83it/s] 8it [00:01, 4.82it/s] 9it [00:01, 4.82it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.78it/s] 12it [00:02, 4.78it/s] 13it [00:02, 4.78it/s] 14it [00:02, 4.77it/s] 15it [00:03, 4.76it/s] 16it [00:03, 4.76it/s] 17it [00:03, 4.76it/s] 18it [00:03, 4.76it/s] 19it [00:03, 4.76it/s] 20it [00:04, 4.76it/s] 21it [00:04, 4.76it/s] 22it [00:04, 4.76it/s] 23it [00:04, 4.76it/s] 24it [00:04, 4.77it/s] 25it [00:05, 4.76it/s] 26it [00:05, 4.75it/s] 27it [00:05, 4.76it/s] 28it [00:05, 4.75it/s] 28it [00:05, 4.84it/s] Total safe images: 1 out of 1
Version Details
- Version ID
5d02bcb937f28e5ab80bda72daa7a29db176f3be5f8955d931e8ed35cfd0ee4c- Version Created
- January 25, 2025