debesu/a-photo-of-ashu 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"Ashu, Image is a full-length portrait of a bride standing on stone steps in front of an ornate, white wooden door with glass panels and decorative ironwork. The bride, with fair skin and dark brown hair styled in an elegant updo, is wearing a flowing white wedding gown with a long train and lace detailing on the bodice. She holds a bouquet of white flowers and wears a sheer veil that cascades down her back. The setting includes potted plants on either side of the steps, adding a touch of greenery to the scene. The overall composition is symmetrical, with the bride centered in front of the door, creating a classic and romantic atmosphere."
Output
Performance Metrics
14.74s
Prediction Time
65.96s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/MnSkwhjrWDsw1qHaLFdHw5gByzr4LvQK1QIVN9bCRwlsSUbu/pexels-salih-deniz-1266946141-31497235.jpg",
"model": "dev",
"prompt": "Ashu, Image is a full-length portrait of a bride standing on stone steps in front of an ornate, white wooden door with glass panels and decorative ironwork. The bride, with fair skin and dark brown hair styled in an elegant updo, is wearing a flowing white wedding gown with a long train and lace detailing on the bodice. She holds a bouquet of white flowers and wears a sheer veil that cascades down her back. The setting includes potted plants on either side of the steps, adding a touch of greenery to the scene. The overall composition is symmetrical, with the bride centered in front of the door, creating a classic and romantic atmosphere.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "9:16",
"output_format": "jpg",
"guidance_scale": 3.09,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 45
}
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=25266620710912 Downloading weights 2025-04-07T18:46:53Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpz3gw1fs_/weights url=https://replicate.delivery/xezq/sSLJaPppL24SEZuR3RqNxsEqF3jHu5BixQhZCMUaaAkv8SfJA/trained_model.tar 2025-04-07T18:46:56Z | INFO | [ Complete ] dest=/tmp/tmpz3gw1fs_/weights size="172 MB" total_elapsed=2.157s url=https://replicate.delivery/xezq/sSLJaPppL24SEZuR3RqNxsEqF3jHu5BixQhZCMUaaAkv8SfJA/trained_model.tar Downloaded weights in 2.18s Loaded LoRAs in 2.79s Using seed: 39389 Prompt: Ashu, Image is a full-length portrait of a bride standing on stone steps in front of an ornate, white wooden door with glass panels and decorative ironwork. The bride, with fair skin and dark brown hair styled in an elegant updo, is wearing a flowing white wedding gown with a long train and lace detailing on the bodice. She holds a bouquet of white flowers and wears a sheer veil that cascades down her back. The setting includes potted plants on either side of the steps, adding a touch of greenery to the scene. The overall composition is symmetrical, with the bride centered in front of the door, creating a classic and romantic atmosphere. Input image size: 2603x4627 [!] Resizing input image from 2603x4627 to 816x1440 [!] img2img mode 0%| | 0/36 [00:00<?, ?it/s] 3%|▎ | 1/36 [00:00<00:08, 4.30it/s] 6%|▌ | 2/36 [00:00<00:09, 3.77it/s] 8%|▊ | 3/36 [00:00<00:09, 3.62it/s] 11%|█ | 4/36 [00:01<00:09, 3.55it/s] 14%|█▍ | 5/36 [00:01<00:08, 3.51it/s] 17%|█▋ | 6/36 [00:01<00:08, 3.49it/s] 19%|█▉ | 7/36 [00:01<00:08, 3.48it/s] 22%|██▏ | 8/36 [00:02<00:08, 3.47it/s] 25%|██▌ | 9/36 [00:02<00:07, 3.47it/s] 28%|██▊ | 10/36 [00:02<00:07, 3.47it/s] 31%|███ | 11/36 [00:03<00:07, 3.46it/s] 33%|███▎ | 12/36 [00:03<00:06, 3.46it/s] 36%|███▌ | 13/36 [00:03<00:06, 3.46it/s] 39%|███▉ | 14/36 [00:03<00:06, 3.46it/s] 42%|████▏ | 15/36 [00:04<00:06, 3.46it/s] 44%|████▍ | 16/36 [00:04<00:05, 3.46it/s] 47%|████▋ | 17/36 [00:04<00:05, 3.45it/s] 50%|█████ | 18/36 [00:05<00:05, 3.46it/s] 53%|█████▎ | 19/36 [00:05<00:04, 3.46it/s] 56%|█████▌ | 20/36 [00:05<00:04, 3.46it/s] 58%|█████▊ | 21/36 [00:06<00:04, 3.45it/s] 61%|██████ | 22/36 [00:06<00:04, 3.45it/s] 64%|██████▍ | 23/36 [00:06<00:03, 3.45it/s] 67%|██████▋ | 24/36 [00:06<00:03, 3.45it/s] 69%|██████▉ | 25/36 [00:07<00:03, 3.45it/s] 72%|███████▏ | 26/36 [00:07<00:02, 3.45it/s] 75%|███████▌ | 27/36 [00:07<00:02, 3.45it/s] 78%|███████▊ | 28/36 [00:08<00:02, 3.45it/s] 81%|████████ | 29/36 [00:08<00:02, 3.45it/s] 83%|████████▎ | 30/36 [00:08<00:01, 3.45it/s] 86%|████████▌ | 31/36 [00:08<00:01, 3.45it/s] 89%|████████▉ | 32/36 [00:09<00:01, 3.45it/s] 92%|█████████▏| 33/36 [00:09<00:00, 3.45it/s] 94%|█████████▍| 34/36 [00:09<00:00, 3.45it/s] 97%|█████████▋| 35/36 [00:10<00:00, 3.45it/s] 100%|██████████| 36/36 [00:10<00:00, 3.45it/s] 100%|██████████| 36/36 [00:10<00:00, 3.47it/s] Total safe images: 1 out of 1
Version Details
- Version ID
b7e296146d5c7efae58521c05e8867025e14529072888b9a0d23ba0dde775b04- Version Created
- December 21, 2024