diazdiaz/uggator 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"a slipper UGH"
Output
Performance Metrics
8.70s
Prediction Time
8.89s
Total Time
All Input Parameters
{
"seed": 20388,
"image": "https://replicate.delivery/pbxt/NHu89dBMOF7yBLjCRzFuHF7RPWZL1ODOB3twQhUKuP0EVf03/Screenshot%202025-06-30%20at%2016.38.33.png",
"model": "dev",
"prompt": "a slipper UGH",
"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": 0.91,
"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
Loaded LoRAs in 0.53s Using seed: 20388 Prompt: a slipper UGH Input image size: 1930x1090 [!] Resizing input image from 1930x1090 to 1440x816 [!] img2img mode 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:05, 4.28it/s] 8%|▊ | 2/26 [00:00<00:06, 3.72it/s] 12%|█▏ | 3/26 [00:00<00:06, 3.56it/s] 15%|█▌ | 4/26 [00:01<00:06, 3.48it/s] 19%|█▉ | 5/26 [00:01<00:06, 3.45it/s] 23%|██▎ | 6/26 [00:01<00:05, 3.44it/s] 27%|██▋ | 7/26 [00:02<00:05, 3.42it/s] 31%|███ | 8/26 [00:02<00:05, 3.40it/s] 35%|███▍ | 9/26 [00:02<00:05, 3.40it/s] 38%|███▊ | 10/26 [00:02<00:04, 3.40it/s] 42%|████▏ | 11/26 [00:03<00:04, 3.39it/s] 46%|████▌ | 12/26 [00:03<00:04, 3.39it/s] 50%|█████ | 13/26 [00:03<00:03, 3.39it/s] 54%|█████▍ | 14/26 [00:04<00:03, 3.38it/s] 58%|█████▊ | 15/26 [00:04<00:03, 3.39it/s] 62%|██████▏ | 16/26 [00:04<00:02, 3.40it/s] 65%|██████▌ | 17/26 [00:04<00:02, 3.40it/s] 69%|██████▉ | 18/26 [00:05<00:02, 3.40it/s] 73%|███████▎ | 19/26 [00:05<00:02, 3.40it/s] 77%|███████▋ | 20/26 [00:05<00:01, 3.39it/s] 81%|████████ | 21/26 [00:06<00:01, 3.38it/s] 85%|████████▍ | 22/26 [00:06<00:01, 3.38it/s] 88%|████████▊ | 23/26 [00:06<00:00, 3.39it/s] 92%|█████████▏| 24/26 [00:07<00:00, 3.39it/s] 96%|█████████▌| 25/26 [00:07<00:00, 3.40it/s] 100%|██████████| 26/26 [00:07<00:00, 3.41it/s] 100%|██████████| 26/26 [00:07<00:00, 3.42it/s] Total safe images: 1 out of 1
Version Details
- Version ID
68ffea686d4a8ca788feaee7bd46b6709948177e30516e0f5151dd20f2360800- Version Created
- July 2, 2025