marcobitboss274/pendenti 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"
High-resolution digital engraving-style reproduction, monochromatic black ink on a pure white background, characterized by a fluid and organic geometry. The drawing is a vertical ornamental composition in the Baroque-Rococo style, composed exclusively of intricate scrolls that join in sinuous and calligraphic lines. Elegant curls and spirals evoke stylized plant forms, ending in harmonious curves and sophisticated decorative flourishes. In the center appear small stylized leaf or flower elements, while on both the upper and lower sides, there are complex floral medallions framing delicate arabesques.
From the structure branch out scroll and calligraphic motifs, forming elegant curves and arches, accentuating the symmetry and refined complexity of the composition. The style is delicate, harmonious, and reminiscent of 18th-century decorative friezes and bookbinding motifs.
The drawing develops primarily in a vertical direction but is skillfully balanced by horizontal elements and connecting curves that create a harmonious interlace and a sense of stability. The overall forms are an intricate weave of elongated ellipses, soft S- and C-shaped curves, and small stylized droplet and leaf elements, richly detailed.
The composition alternates richly detailed areas with open white spaces and presents strong chiaroscuro and volumetric effects achieved through precise and refined cross-hatching and shading. The border consists of overlapping intricate volutes and delicate floral elements. it has to be in PENDENTI style.
"Output
Performance Metrics
12.92s
Prediction Time
12.94s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/NxQ6f66fNACfz4Gg2KelvDKj771Uyr2JLCKN8qdpaQa2KdXq/Screenshot%202025-10-27%20at%2013.01.58.png",
"model": "dev",
"prompt": "High-resolution digital engraving-style reproduction, monochromatic black ink on a pure white background, characterized by a fluid and organic geometry. The drawing is a vertical ornamental composition in the Baroque-Rococo style, composed exclusively of intricate scrolls that join in sinuous and calligraphic lines. Elegant curls and spirals evoke stylized plant forms, ending in harmonious curves and sophisticated decorative flourishes. In the center appear small stylized leaf or flower elements, while on both the upper and lower sides, there are complex floral medallions framing delicate arabesques.\n\nFrom the structure branch out scroll and calligraphic motifs, forming elegant curves and arches, accentuating the symmetry and refined complexity of the composition. The style is delicate, harmonious, and reminiscent of 18th-century decorative friezes and bookbinding motifs.\n\nThe drawing develops primarily in a vertical direction but is skillfully balanced by horizontal elements and connecting curves that create a harmonious interlace and a sense of stability. The overall forms are an intricate weave of elongated ellipses, soft S- and C-shaped curves, and small stylized droplet and leaf elements, richly detailed.\n\nThe composition alternates richly detailed areas with open white spaces and presents strong chiaroscuro and volumetric effects achieved through precise and refined cross-hatching and shading. The border consists of overlapping intricate volutes and delicate floral elements. it has to be in PENDENTI style.",
"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": 0.8,
"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=24502904995840 Downloading weights 2025-10-27T12:04:51Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpq04_6s0x/weights url=https://replicate.delivery/xezq/Ef2sFi3j95SwGKL4joIWpbTOsQixGO3LUuboZTO7bk0XioxKA/flux-lora.tar 2025-10-27T12:04:51Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-10-27T12:04:51Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/Ef2sFi3j95SwGKL4joIWpbTOsQixGO3LUuboZTO7bk0XioxKA/flux-lora.tar url=https://replicate.delivery/xezq/Ef2sFi3j95SwGKL4joIWpbTOsQixGO3LUuboZTO7bk0XioxKA/flux-lora.tar 2025-10-27T12:04:51Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/xezq/Ef2sFi3j95SwGKL4joIWpbTOsQixGO3LUuboZTO7bk0XioxKA/flux-lora.tar url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/Ef2sFi3j95SwGKL4joIWpbTOsQixGO3LUuboZTO7bk0XioxKA/flux-lora.tar 2025-10-27T12:04:54Z | INFO | [ Complete ] dest=/tmp/tmpq04_6s0x/weights size="172 MB" total_elapsed=2.975s url=https://replicate.delivery/xezq/Ef2sFi3j95SwGKL4joIWpbTOsQixGO3LUuboZTO7bk0XioxKA/flux-lora.tar Downloaded weights in 3.04s Loaded LoRAs in 3.57s Using seed: 44395 Prompt: High-resolution digital engraving-style reproduction, monochromatic black ink on a pure white background, characterized by a fluid and organic geometry. The drawing is a vertical ornamental composition in the Baroque-Rococo style, composed exclusively of intricate scrolls that join in sinuous and calligraphic lines. Elegant curls and spirals evoke stylized plant forms, ending in harmonious curves and sophisticated decorative flourishes. In the center appear small stylized leaf or flower elements, while on both the upper and lower sides, there are complex floral medallions framing delicate arabesques. From the structure branch out scroll and calligraphic motifs, forming elegant curves and arches, accentuating the symmetry and refined complexity of the composition. The style is delicate, harmonious, and reminiscent of 18th-century decorative friezes and bookbinding motifs. The drawing develops primarily in a vertical direction but is skillfully balanced by horizontal elements and connecting curves that create a harmonious interlace and a sense of stability. The overall forms are an intricate weave of elongated ellipses, soft S- and C-shaped curves, and small stylized droplet and leaf elements, richly detailed. The composition alternates richly detailed areas with open white spaces and presents strong chiaroscuro and volumetric effects achieved through precise and refined cross-hatching and shading. The border consists of overlapping intricate volutes and delicate floral elements. it has to be in PENDENTI style. Input image size: 1136x1732 [!] Resizing input image from 1136x1732 to 944x1440 [!] img2img mode 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.66it/s] 9%|▊ | 2/23 [00:00<00:06, 3.20it/s] 13%|█▎ | 3/23 [00:00<00:06, 3.07it/s] 17%|█▋ | 4/23 [00:01<00:06, 3.02it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.99it/s] 26%|██▌ | 6/23 [00:01<00:05, 2.97it/s] 30%|███ | 7/23 [00:02<00:05, 2.96it/s] 35%|███▍ | 8/23 [00:02<00:05, 2.95it/s] 39%|███▉ | 9/23 [00:02<00:04, 2.95it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.94it/s] 48%|████▊ | 11/23 [00:03<00:04, 2.94it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.94it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.94it/s] 61%|██████ | 14/23 [00:04<00:03, 2.94it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.94it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.94it/s] 74%|███████▍ | 17/23 [00:05<00:02, 2.93it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.93it/s] 83%|████████▎ | 19/23 [00:06<00:01, 2.93it/s] 87%|████████▋ | 20/23 [00:06<00:01, 2.93it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.93it/s] 96%|█████████▌| 22/23 [00:07<00:00, 2.93it/s] 100%|██████████| 23/23 [00:07<00:00, 2.93it/s] 100%|██████████| 23/23 [00:07<00:00, 2.96it/s] Total safe images: 1 out of 1
Version Details
- Version ID
2b49535e15e377bb7ae43ebef1e29bf15867646eb92502a602f36a4cca2184a2- Version Created
- October 27, 2025