solk-marketing/carrousel4 πΌοΈπ’βπβ β πΌοΈ
About
Example Output
"Create a hyper-realistic full-body portrait of a joyful young woman wearing the iconic striped dress from the movie 13 Going on 30 (worn by Jennifer Garner in the famous βThrillerβ dance scene). The dress is sleeveless with a fitted bust and flared skirt, featuring bold diagonal color blocks in lime green, red, light blue, purple, and aqua, with light blue sparkly straps and detailing under the bust. The woman has her hair styled in a playful updo, with volume and strands loosely pulled back. She is posing confidently with both hands on her hips, smiling softly or with a serene expression. The background is minimal (plain white or studio lighting) to focus on the outfit and styling. Lighting should be cinematic and polished. Match the facial features, skin tone, and expression from the provided photo. Realistic textures for fabric and skin. Fashion editorial feel."
Output



Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "Create a hyper-realistic full-body portrait of a joyful young woman wearing the iconic striped dress from the movie 13 Going on 30 (worn by Jennifer Garner in the famous βThrillerβ dance scene). The dress is sleeveless with a fitted bust and flared skirt, featuring bold diagonal color blocks in lime green, red, light blue, purple, and aqua, with light blue sparkly straps and detailing under the bust. The woman has her hair styled in a playful updo, with volume and strands loosely pulled back. She is posing confidently with both hands on her hips, smiling softly or with a serene expression. The background is minimal (plain white or studio lighting) to focus on the outfit and styling. Lighting should be cinematic and polished. Match the facial features, skin tone, and expression from the provided photo. Realistic textures for fabric and skin. Fashion editorial feel.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"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=26089606680576 Downloading weights 2025-08-17T11:56:50Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp3awhhgbg/weights url=https://replicate.delivery/xezq/hYOpKD5CfG2EC6A0pUusmdj4rmDLs7xWByk0OSCTP3xXS1aKA/trained_model.tar 2025-08-17T11:56:50Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-08-17T11:56:50Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/hYOpKD5CfG2EC6A0pUusmdj4rmDLs7xWByk0OSCTP3xXS1aKA/trained_model.tar url=https://replicate.delivery/xezq/hYOpKD5CfG2EC6A0pUusmdj4rmDLs7xWByk0OSCTP3xXS1aKA/trained_model.tar 2025-08-17T11:56:50Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/84eb7bfa458f62fa20068e0977ccbb5fe14b3129cede6ec1158f8b0d4f04c7b7?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250817%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250817T115650Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=023e1067502a67299106685b99326a819c26c5552a0467dda58495b8ede4f513 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/hYOpKD5CfG2EC6A0pUusmdj4rmDLs7xWByk0OSCTP3xXS1aKA/trained_model.tar 2025-08-17T11:56:50Z | INFO | [ Complete ] dest=/tmp/tmp3awhhgbg/weights size="172 MB" total_elapsed=0.231s url=https://replicate.delivery/xezq/hYOpKD5CfG2EC6A0pUusmdj4rmDLs7xWByk0OSCTP3xXS1aKA/trained_model.tar Downloaded weights in 0.29s Loaded LoRAs in 0.85s Using seed: 16547 Prompt: Create a hyper-realistic full-body portrait of a joyful young woman wearing the iconic striped dress from the movie 13 Going on 30 (worn by Jennifer Garner in the famous βThrillerβ dance scene). The dress is sleeveless with a fitted bust and flared skirt, featuring bold diagonal color blocks in lime green, red, light blue, purple, and aqua, with light blue sparkly straps and detailing under the bust. The woman has her hair styled in a playful updo, with volume and strands loosely pulled back. She is posing confidently with both hands on her hips, smiling softly or with a serene expression. The background is minimal (plain white or studio lighting) to focus on the outfit and styling. Lighting should be cinematic and polished. Match the facial features, skin tone, and expression from the provided photo. Realistic textures for fabric and skin. Fashion editorial feel. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|β | 1/28 [00:00<00:26, 1.03it/s] 7%|β | 2/28 [00:01<00:22, 1.16it/s] 11%|β | 3/28 [00:02<00:22, 1.10it/s] 14%|ββ | 4/28 [00:03<00:22, 1.07it/s] 18%|ββ | 5/28 [00:04<00:21, 1.05it/s] 21%|βββ | 6/28 [00:05<00:21, 1.04it/s] 25%|βββ | 7/28 [00:06<00:20, 1.04it/s] 29%|βββ | 8/28 [00:07<00:19, 1.03it/s] 32%|ββββ | 9/28 [00:08<00:18, 1.03it/s] 36%|ββββ | 10/28 [00:09<00:17, 1.03it/s] 39%|ββββ | 11/28 [00:10<00:16, 1.03it/s] 43%|βββββ | 12/28 [00:11<00:15, 1.03it/s] 46%|βββββ | 13/28 [00:12<00:14, 1.02it/s] 50%|βββββ | 14/28 [00:13<00:13, 1.02it/s] 54%|ββββββ | 15/28 [00:14<00:12, 1.02it/s] 57%|ββββββ | 16/28 [00:15<00:11, 1.02it/s] 61%|ββββββ | 17/28 [00:16<00:10, 1.02it/s] 64%|βββββββ | 18/28 [00:17<00:09, 1.02it/s] 68%|βββββββ | 19/28 [00:18<00:08, 1.02it/s] 71%|ββββββββ | 20/28 [00:19<00:07, 1.02it/s] 75%|ββββββββ | 21/28 [00:20<00:06, 1.02it/s] 79%|ββββββββ | 22/28 [00:21<00:05, 1.02it/s] 82%|βββββββββ | 23/28 [00:22<00:04, 1.02it/s] 86%|βββββββββ | 24/28 [00:23<00:03, 1.02it/s] 89%|βββββββββ | 25/28 [00:24<00:02, 1.02it/s] 93%|ββββββββββ| 26/28 [00:25<00:01, 1.02it/s] 96%|ββββββββββ| 27/28 [00:26<00:00, 1.02it/s] 100%|ββββββββββ| 28/28 [00:27<00:00, 1.02it/s] 100%|ββββββββββ| 28/28 [00:27<00:00, 1.03it/s] Total safe images: 4 out of 4
Version Details
- Version ID
83964e1ce0b7007b9dfb5e04a91e7f06761ddd4fedcbac22b34d901553060585- Version Created
- June 11, 2025