marcobitboss274/marcocandelabro πΌοΈπ’βπβ β πΌοΈ
About
Monochromatic, high-resolution Rococo-Baroque engraving with dense, vertical organic geometry defined by sinuous calligraphic lines, golden ratio swirls, and volume from fine cross-hatching.
Example Output
"Stricreproduct a High-resolution digital engraving style, monochromatic black ink on a pure white background. The design is a complex, perfectly vertical and horizontal symmetrical RococΓ²-Baroque ornamental cartouche. It is surrounded by richly detailed acanthus leaves, heavy scrolls, and thick volutes. The composition is densely packed and layered, exhibiting extensive chiaroscuro effects and volume created through precise, fine cross-hatching and shading. The border is composed of intricate, overlapping volutes and delicate floral elements, adhering strictly to the figure's original placement and weight. The overall shape is an elongated oval. No creative variation or interpretation allowed. It must be in MARCOCANDELABRI style."
Output
Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "Stricreproduct a High-resolution digital engraving style, monochromatic black ink on a pure white background. The design is a complex, perfectly vertical and horizontal symmetrical RococΓ²-Baroque ornamental cartouche. It is surrounded by richly detailed acanthus leaves, heavy scrolls, and thick volutes. The composition is densely packed and layered, exhibiting extensive chiaroscuro effects and volume created through precise, fine cross-hatching and shading. The border is composed of intricate, overlapping volutes and delicate floral elements, adhering strictly to the figure's original placement and weight. The overall shape is an elongated oval. No creative variation or interpretation allowed. It must be in MARCOCANDELABRI 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=25673363832832 Downloading weights 2025-10-14T15:40:19Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp4rj9cp1m/weights url=https://replicate.delivery/xezq/NfBtDog6xI0vPakB2l6yr0AGNRvfMDPm28ccBTE5W9l7ACfqA/flux-lora.tar 2025-10-14T15:40:19Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-10-14T15:40:19Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/NfBtDog6xI0vPakB2l6yr0AGNRvfMDPm28ccBTE5W9l7ACfqA/flux-lora.tar url=https://replicate.delivery/xezq/NfBtDog6xI0vPakB2l6yr0AGNRvfMDPm28ccBTE5W9l7ACfqA/flux-lora.tar 2025-10-14T15:40:19Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/b0b6989c06da99866d711476fc5626692ad81b98acecb4f40db299aebf01491a?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20251014%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20251014T154019Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=55a24af044dacdf55bcf371cfa27c8ac4a166168489d8efc92d4d08221e5cd96 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/NfBtDog6xI0vPakB2l6yr0AGNRvfMDPm28ccBTE5W9l7ACfqA/flux-lora.tar 2025-10-14T15:40:19Z | INFO | [ Complete ] dest=/tmp/tmp4rj9cp1m/weights size="172 MB" total_elapsed=0.249s url=https://replicate.delivery/xezq/NfBtDog6xI0vPakB2l6yr0AGNRvfMDPm28ccBTE5W9l7ACfqA/flux-lora.tar Downloaded weights in 0.32s Loaded LoRAs in 1.30s Using seed: 61025 Prompt: Stricreproduct a High-resolution digital engraving style, monochromatic black ink on a pure white background. The design is a complex, perfectly vertical and horizontal symmetrical RococΓ²-Baroque ornamental cartouche. It is surrounded by richly detailed acanthus leaves, heavy scrolls, and thick volutes. The composition is densely packed and layered, exhibiting extensive chiaroscuro effects and volume created through precise, fine cross-hatching and shading. The border is composed of intricate, overlapping volutes and delicate floral elements, adhering strictly to the figure's original placement and weight. The overall shape is an elongated oval. No creative variation or interpretation allowed. It must be in MARCOCANDELABRI style. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|β | 1/28 [00:00<00:07, 3.81it/s] 7%|β | 2/28 [00:00<00:06, 4.33it/s] 11%|β | 3/28 [00:00<00:06, 4.08it/s] 14%|ββ | 4/28 [00:00<00:06, 3.98it/s] 18%|ββ | 5/28 [00:01<00:05, 3.92it/s] 21%|βββ | 6/28 [00:01<00:05, 3.88it/s] 25%|βββ | 7/28 [00:01<00:05, 3.86it/s] 29%|βββ | 8/28 [00:02<00:05, 3.85it/s] 32%|ββββ | 9/28 [00:02<00:04, 3.84it/s] 36%|ββββ | 10/28 [00:02<00:04, 3.84it/s] 39%|ββββ | 11/28 [00:02<00:04, 3.83it/s] 43%|βββββ | 12/28 [00:03<00:04, 3.83it/s] 46%|βββββ | 13/28 [00:03<00:03, 3.83it/s] 50%|βββββ | 14/28 [00:03<00:03, 3.83it/s] 54%|ββββββ | 15/28 [00:03<00:03, 3.82it/s] 57%|ββββββ | 16/28 [00:04<00:03, 3.82it/s] 61%|ββββββ | 17/28 [00:04<00:02, 3.82it/s] 64%|βββββββ | 18/28 [00:04<00:02, 3.82it/s] 68%|βββββββ | 19/28 [00:04<00:02, 3.81it/s] 71%|ββββββββ | 20/28 [00:05<00:02, 3.82it/s] 75%|ββββββββ | 21/28 [00:05<00:01, 3.82it/s] 79%|ββββββββ | 22/28 [00:05<00:01, 3.81it/s] 82%|βββββββββ | 23/28 [00:05<00:01, 3.81it/s] 86%|βββββββββ | 24/28 [00:06<00:01, 3.81it/s] 89%|βββββββββ | 25/28 [00:06<00:00, 3.81it/s] 93%|ββββββββββ| 26/28 [00:06<00:00, 3.81it/s] 96%|ββββββββββ| 27/28 [00:07<00:00, 3.81it/s] 100%|ββββββββββ| 28/28 [00:07<00:00, 3.82it/s] 100%|ββββββββββ| 28/28 [00:07<00:00, 3.84it/s] Total safe images: 1 out of 1
Version Details
- Version ID
0b77ce9a1c52b7ac25bc0b43c4eaa7eee02d2bcee228e8dbd05b07021f9c9f73- Version Created
- October 14, 2025