codelace/nocaptions3 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"BespokePunksStyle"
Output
Performance Metrics
7.52s
Prediction Time
7.62s
Total Time
All Input Parameters
{
"mask": "https://replicate.delivery/pbxt/MN2qW6TxHNOpEDF3g1CKrbQSrKF2Nn9g7RUB30Xes1WxKnEH/lady_002_vanilla_mask.png",
"image": "https://replicate.delivery/pbxt/MN2qWKDYehoE3rsfsOPY4f3pGXNH0HXrqKgdjjWZqpwuUnSH/lady_002_vanilla.png",
"model": "dev",
"prompt": "BespokePunksStyle",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "jpg",
"guidance_scale": 9.58,
"output_quality": 80,
"prompt_strength": 1,
"extra_lora_scale": 1,
"num_inference_steps": 50
}
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
2025-01-23 08:32:47.403 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-23 08:32:47.404 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2778.88it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2650.84it/s] 2025-01-23 08:32:47.519 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=29127590260736 Downloading weights 2025-01-23T08:32:47Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpj7glogp9/weights url=https://replicate.delivery/xezq/MKoZRVQ88p6dGhP6vUETXATQDGVufyleGAP9YnjkgfuXg1LoA/trained_model.tar 2025-01-23T08:32:49Z | INFO | [ Complete ] dest=/tmp/tmpj7glogp9/weights size="344 MB" total_elapsed=2.394s url=https://replicate.delivery/xezq/MKoZRVQ88p6dGhP6vUETXATQDGVufyleGAP9YnjkgfuXg1LoA/trained_model.tar Downloaded weights in 2.42s 2025-01-23 08:32:49.939 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/67225bfb7e57db18 2025-01-23 08:32:50.052 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-23 08:32:50.053 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-23 08:32:50.053 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2779.57it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2651.48it/s] 2025-01-23 08:32:50.168 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s Using seed: 21209 Image detected - setting to img2img mode Input image size: 576x576 Input image size set to: 576x576 0it [00:00, ?it/s] 2it [00:00, 16.28it/s] 4it [00:00, 14.26it/s] 6it [00:00, 13.74it/s] 8it [00:00, 13.51it/s] 10it [00:00, 13.36it/s] 12it [00:00, 13.27it/s] 14it [00:01, 13.22it/s] 16it [00:01, 13.18it/s] 18it [00:01, 13.15it/s] 20it [00:01, 13.14it/s] 22it [00:01, 13.11it/s] 24it [00:01, 13.11it/s] 26it [00:01, 13.10it/s] 28it [00:02, 13.10it/s] 30it [00:02, 13.11it/s] 32it [00:02, 13.13it/s] 34it [00:02, 13.13it/s] 36it [00:02, 13.12it/s] 38it [00:02, 13.12it/s] 40it [00:03, 13.13it/s] 42it [00:03, 13.11it/s] 44it [00:03, 13.12it/s] 46it [00:03, 13.12it/s] 48it [00:03, 13.13it/s] 50it [00:03, 13.13it/s] 50it [00:03, 13.22it/s] Total safe images: 1 out of 1
Version Details
- Version ID
699912703d8dd9762877ff8d693a808a2e089bf74534fad1acb31e43b2e79f0b- Version Created
- January 17, 2025