moicarmonas/nofunciono-c πΌοΈπ’βπβ β πΌοΈ
About

Example Output
"
Design a high-impact YouTube thumbnail featuring Carlos, a confident fit man with slicked-back salt-and-pepper hair, a strong jawline, and a composed expression. He is sitting at a desk, wearing a black button-up shirt, and confidently pointing at a laptop screen in front of him.
On the laptop screen, display a glowing Amazon FBA logo (instead of Binance). Behind Carlos, use a dark background with a glowing yellow upward graph line, implying growth and success. Add digital-style elements like plus signs or data lines to give it a tech/financial vibe.
At the top left of the thumbnail, add bold, high-contrast text:
AMAZON FBA (gradient yellow to white)
$100,000 (bold white)
Make the overall aesthetic clean, modern, and eye-catchingβideal for a video about Amazon success or financial wins with FBA.
"Output




Performance Metrics
All Input Parameters
{ "image": "https://img.youtube.com/vi/P_Gv_YZ362Y/maxresdefault.jpg", "model": "dev", "prompt": "Design a high-impact YouTube thumbnail featuring Carlos, a confident fit man with slicked-back salt-and-pepper hair, a strong jawline, and a composed expression. He is sitting at a desk, wearing a black button-up shirt, and confidently pointing at a laptop screen in front of him.\n\nOn the laptop screen, display a glowing Amazon FBA logo (instead of Binance). Behind Carlos, use a dark background with a glowing yellow upward graph line, implying growth and success. Add digital-style elements like plus signs or data lines to give it a tech/financial vibe.\n\nAt the top left of the thumbnail, add bold, high-contrast text:\n\nAMAZON FBA (gradient yellow to white)\n$100,000 (bold white)\n\nMake the overall aesthetic clean, modern, and eye-catchingβideal for a video about Amazon success or financial wins with FBA.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "16:9", "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=26119435907072 Downloading weights 2025-06-10T18:56:49Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpy35u0jkd/weights url=https://replicate.delivery/xezq/DycVrfckWpW4PCebp4Zi0rYBEepNQrOuWAMiVEh06zqElErpA/trained_model.tar 2025-06-10T18:56:49Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-06-10T18:56:49Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/DycVrfckWpW4PCebp4Zi0rYBEepNQrOuWAMiVEh06zqElErpA/trained_model.tar url=https://replicate.delivery/xezq/DycVrfckWpW4PCebp4Zi0rYBEepNQrOuWAMiVEh06zqElErpA/trained_model.tar 2025-06-10T18:56:50Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/b42b4681b34d3c81e963e11cdda5c90cca8657d571b7f83dd5fdbba5fb3e66b2?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250610%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250610T185649Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=baa50e7f92a167fe7250089e09e7350aafa718c4b0e18b41e7a90532cce9fd2f url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/DycVrfckWpW4PCebp4Zi0rYBEepNQrOuWAMiVEh06zqElErpA/trained_model.tar 2025-06-10T18:56:50Z | INFO | [ Complete ] dest=/tmp/tmpy35u0jkd/weights size="172 MB" total_elapsed=0.290s url=https://replicate.delivery/xezq/DycVrfckWpW4PCebp4Zi0rYBEepNQrOuWAMiVEh06zqElErpA/trained_model.tar Downloaded weights in 0.35s Loaded LoRAs in 0.94s Using seed: 55374 Prompt: Design a high-impact YouTube thumbnail featuring Carlos, a confident fit man with slicked-back salt-and-pepper hair, a strong jawline, and a composed expression. He is sitting at a desk, wearing a black button-up shirt, and confidently pointing at a laptop screen in front of him. On the laptop screen, display a glowing Amazon FBA logo (instead of Binance). Behind Carlos, use a dark background with a glowing yellow upward graph line, implying growth and success. Add digital-style elements like plus signs or data lines to give it a tech/financial vibe. At the top left of the thumbnail, add bold, high-contrast text: AMAZON FBA (gradient yellow to white) $100,000 (bold white) Make the overall aesthetic clean, modern, and eye-catchingβideal for a video about Amazon success or financial wins with FBA. Input image size: 1280x720 [!] Resizing input image from 1280x720 to 1280x720 [!] img2img mode 0%| | 0/23 [00:00<?, ?it/s] 4%|β | 1/23 [00:00<00:15, 1.45it/s] 9%|β | 2/23 [00:01<00:16, 1.26it/s] 13%|ββ | 3/23 [00:02<00:16, 1.21it/s] 17%|ββ | 4/23 [00:03<00:15, 1.19it/s] 22%|βββ | 5/23 [00:04<00:15, 1.18it/s] 26%|βββ | 6/23 [00:05<00:14, 1.17it/s] 30%|βββ | 7/23 [00:05<00:13, 1.17it/s] 35%|ββββ | 8/23 [00:06<00:12, 1.16it/s] 39%|ββββ | 9/23 [00:07<00:12, 1.16it/s] 43%|βββββ | 10/23 [00:08<00:11, 1.16it/s] 48%|βββββ | 11/23 [00:09<00:10, 1.16it/s] 52%|ββββββ | 12/23 [00:10<00:09, 1.16it/s] 57%|ββββββ | 13/23 [00:11<00:08, 1.16it/s] 61%|ββββββ | 14/23 [00:11<00:07, 1.16it/s] 65%|βββββββ | 15/23 [00:12<00:06, 1.15it/s] 70%|βββββββ | 16/23 [00:13<00:06, 1.15it/s] 74%|ββββββββ | 17/23 [00:14<00:05, 1.15it/s] 78%|ββββββββ | 18/23 [00:15<00:04, 1.15it/s] 83%|βββββββββ | 19/23 [00:16<00:03, 1.15it/s] 87%|βββββββββ | 20/23 [00:17<00:02, 1.15it/s] 91%|ββββββββββ| 21/23 [00:18<00:01, 1.15it/s] 96%|ββββββββββ| 22/23 [00:18<00:00, 1.15it/s] 100%|ββββββββββ| 23/23 [00:19<00:00, 1.15it/s] 100%|ββββββββββ| 23/23 [00:19<00:00, 1.16it/s] Total safe images: 4 out of 4
Version Details
- Version ID
fc3e956981bfa378be0c52be1e9967231a5af88f54b456524e0a62dacbde5692
- Version Created
- July 2, 2025