10thecreator/ai_moment_version_3 πΌοΈπ’βπβ β πΌοΈ
About

Example Output
"A sleek, high-end advertising photo of momv, featuring a beautifully chilled can with fresh condensation, placed against a dreamy, sunlit backdrop. The lighting is soft and natural, with golden-hour hues illuminating the can, making it look irresistibly refreshing. A crystal-clear glass filled with the lightly effervescent beverage sits beside it, with subtle reflections enhancing its purity. The background blends calm tones of lavender, warm peach, and deep sunset orange, mirroring momv vibrant, wellness-driven aesthetic. The scene feels like a moment of serenityβperfect for a health-conscious, modern audience seeking balance and relaxation. The composition is clean, aspirational, and editorial-worthy, making it ideal for high-end print and digital ad campaigns. Please make sure the spelling of "moment" "0 sugar added" "still adaptoghens & botanical drink" "drink your meditation" are on the can accordingly in the right spots on momv"
Output




Performance Metrics
All Input Parameters
{ "model": "dev", "prompt": "A sleek, high-end advertising photo of momv, featuring a beautifully chilled can with fresh condensation, placed against a dreamy, sunlit backdrop. The lighting is soft and natural, with golden-hour hues illuminating the can, making it look irresistibly refreshing. A crystal-clear glass filled with the lightly effervescent beverage sits beside it, with subtle reflections enhancing its purity. The background blends calm tones of lavender, warm peach, and deep sunset orange, mirroring momv vibrant, wellness-driven aesthetic. The scene feels like a moment of serenityβperfect for a health-conscious, modern audience seeking balance and relaxation. The composition is clean, aspirational, and editorial-worthy, making it ideal for high-end print and digital ad campaigns. Please make sure the spelling of \"moment\" \"0 sugar added\" \"still adaptoghens & botanical drink\" \"drink your meditation\" are on the can accordingly in the right spots on momv", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 }
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=28849194762240 Downloading weights 2025-03-08T15:29:04Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpnm3tu_yg/weights url=https://replicate.delivery/xezq/wTenIrnEEP12YSMI5GTfgGryZHOpdULrQFyhuJbaGzFfECtoA/trained_model.tar 2025-03-08T15:29:11Z | INFO | [ Complete ] dest=/tmp/tmpnm3tu_yg/weights size="344 MB" total_elapsed=7.744s url=https://replicate.delivery/xezq/wTenIrnEEP12YSMI5GTfgGryZHOpdULrQFyhuJbaGzFfECtoA/trained_model.tar Downloaded weights in 7.78s Loaded LoRAs in 8.37s Using seed: 11594 Prompt: A sleek, high-end advertising photo of momv, featuring a beautifully chilled can with fresh condensation, placed against a dreamy, sunlit backdrop. The lighting is soft and natural, with golden-hour hues illuminating the can, making it look irresistibly refreshing. A crystal-clear glass filled with the lightly effervescent beverage sits beside it, with subtle reflections enhancing its purity. The background blends calm tones of lavender, warm peach, and deep sunset orange, mirroring momv vibrant, wellness-driven aesthetic. The scene feels like a moment of serenityβperfect for a health-conscious, modern audience seeking balance and relaxation. The composition is clean, aspirational, and editorial-worthy, making it ideal for high-end print and digital ad campaigns. Please make sure the spelling of "moment" "0 sugar added" "still adaptoghens & botanical drink" "drink your meditation" are on the can accordingly in the right spots on momv [!] txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|β | 1/50 [00:01<01:12, 1.48s/it] 4%|β | 2/50 [00:02<00:49, 1.03s/it] 6%|β | 3/50 [00:03<00:44, 1.05it/s] 8%|β | 4/50 [00:03<00:42, 1.09it/s] 10%|β | 5/50 [00:04<00:40, 1.11it/s] 12%|ββ | 6/50 [00:05<00:39, 1.12it/s] 14%|ββ | 7/50 [00:06<00:37, 1.13it/s] 16%|ββ | 8/50 [00:07<00:37, 1.13it/s] 18%|ββ | 9/50 [00:08<00:35, 1.14it/s] 20%|ββ | 10/50 [00:09<00:35, 1.14it/s] 22%|βββ | 11/50 [00:10<00:34, 1.14it/s] 24%|βββ | 12/50 [00:10<00:33, 1.14it/s] 26%|βββ | 13/50 [00:11<00:32, 1.15it/s] 28%|βββ | 14/50 [00:12<00:31, 1.15it/s] 30%|βββ | 15/50 [00:13<00:30, 1.15it/s] 32%|ββββ | 16/50 [00:14<00:29, 1.14it/s] 34%|ββββ | 17/50 [00:15<00:28, 1.15it/s] 36%|ββββ | 18/50 [00:16<00:27, 1.15it/s] 38%|ββββ | 19/50 [00:16<00:27, 1.15it/s] 40%|ββββ | 20/50 [00:17<00:26, 1.15it/s] 42%|βββββ | 21/50 [00:18<00:25, 1.15it/s] 44%|βββββ | 22/50 [00:19<00:24, 1.15it/s] 46%|βββββ | 23/50 [00:20<00:23, 1.15it/s] 48%|βββββ | 24/50 [00:21<00:22, 1.15it/s] 50%|βββββ | 25/50 [00:22<00:21, 1.15it/s] 52%|ββββββ | 26/50 [00:23<00:20, 1.15it/s] 54%|ββββββ | 27/50 [00:23<00:20, 1.15it/s] 56%|ββββββ | 28/50 [00:24<00:19, 1.15it/s] 58%|ββββββ | 29/50 [00:25<00:18, 1.15it/s] 60%|ββββββ | 30/50 [00:26<00:17, 1.15it/s] 62%|βββββββ | 31/50 [00:27<00:16, 1.15it/s] 64%|βββββββ | 32/50 [00:28<00:15, 1.15it/s] 66%|βββββββ | 33/50 [00:29<00:14, 1.15it/s] 68%|βββββββ | 34/50 [00:30<00:13, 1.15it/s] 70%|βββββββ | 35/50 [00:30<00:13, 1.15it/s] 72%|ββββββββ | 36/50 [00:31<00:12, 1.15it/s] 74%|ββββββββ | 37/50 [00:32<00:11, 1.15it/s] 76%|ββββββββ | 38/50 [00:33<00:10, 1.15it/s] 78%|ββββββββ | 39/50 [00:34<00:09, 1.15it/s] 80%|ββββββββ | 40/50 [00:35<00:08, 1.15it/s] 82%|βββββββββ | 41/50 [00:36<00:07, 1.15it/s] 84%|βββββββββ | 42/50 [00:36<00:06, 1.15it/s] 86%|βββββββββ | 43/50 [00:37<00:06, 1.15it/s] 88%|βββββββββ | 44/50 [00:38<00:05, 1.15it/s] 90%|βββββββββ | 45/50 [00:39<00:04, 1.15it/s] 92%|ββββββββββ| 46/50 [00:40<00:03, 1.15it/s] 94%|ββββββββββ| 47/50 [00:41<00:02, 1.15it/s] 96%|ββββββββββ| 48/50 [00:42<00:01, 1.15it/s] 98%|ββββββββββ| 49/50 [00:43<00:00, 1.15it/s] 100%|ββββββββββ| 50/50 [00:43<00:00, 1.15it/s] 100%|ββββββββββ| 50/50 [00:43<00:00, 1.14it/s] Total safe images: 4 out of 4
Version Details
- Version ID
3d36f8f83b7289dcef67cbd892755ffb34bb54c054ea246c74484e67ab9b24db
- Version Created
- March 8, 2025