salomahandyman/ceobeauvil-ai πΌοΈπ’βπβ β πΌοΈ
About
Example Output
Prompt:
"A hyper-realistic
image of office in a dark podcast studio. He is wearing a black
sweatshirt and a black baseball hat. The lighting is low and
moody, with neon accents softly illuminating the scene. The man
is looking directly at the camera with a neutral expression. His
head is proportionate and normal-sized. The camera is zoomed
way out, capturing a wide shot that includes his full upper body,
the desk, microphone setup, and surrounding negative space.
The background is minimalβno posters, shelves, or decorations
on the wallsβjust clean darkness with subtle neon glow. The style
is cinematic and photorealistic. Head & toros are both
proportional. office"
Output
Performance Metrics
8.83s
Prediction Time
9.04s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A hyper-realistic\nimage of office in a dark podcast studio. He is wearing a black\nsweatshirt and a black baseball hat. The lighting is low and\nmoody, with neon accents softly illuminating the scene. The man\nis looking directly at the camera with a neutral expression. His\nhead is proportionate and normal-sized. The camera is zoomed\nway out, capturing a wide shot that includes his full upper body,\nthe desk, microphone setup, and surrounding negative space.\nThe background is minimalβno posters, shelves, or decorations\non the wallsβjust clean darkness with subtle neon glow. The style\nis cinematic and photorealistic. Head & toros are both\nproportional. office",
"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=24756412903424 Downloading weights 2025-08-05T03:03:30Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpo2c4n8tc/weights url=https://replicate.delivery/xezq/qecepy9kD6htUEsEwL0QfxcvbK0VCxstbwC3dGTYbRgWNkPqA/trained_model.tar 2025-08-05T03:03:30Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-08-05T03:03:30Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/qecepy9kD6htUEsEwL0QfxcvbK0VCxstbwC3dGTYbRgWNkPqA/trained_model.tar url=https://replicate.delivery/xezq/qecepy9kD6htUEsEwL0QfxcvbK0VCxstbwC3dGTYbRgWNkPqA/trained_model.tar 2025-08-05T03:03:30Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/695acba5ad97b1dbe5add320f2a0d2759c3bc3e44621fae3a1b514465d425992?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250805%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250805T030330Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=7ebba3fd3666c8d12435cb01737c4f931bdf1d9da2ab9bbd0b643b2cc77d0ef6 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/qecepy9kD6htUEsEwL0QfxcvbK0VCxstbwC3dGTYbRgWNkPqA/trained_model.tar 2025-08-05T03:03:30Z | INFO | [ Complete ] dest=/tmp/tmpo2c4n8tc/weights size="172 MB" total_elapsed=0.640s url=https://replicate.delivery/xezq/qecepy9kD6htUEsEwL0QfxcvbK0VCxstbwC3dGTYbRgWNkPqA/trained_model.tar Downloaded weights in 0.70s Loaded LoRAs in 1.28s Using seed: 49624 Prompt: A hyper-realistic image of office in a dark podcast studio. He is wearing a black sweatshirt and a black baseball hat. The lighting is low and moody, with neon accents softly illuminating the scene. The man is looking directly at the camera with a neutral expression. His head is proportionate and normal-sized. The camera is zoomed way out, capturing a wide shot that includes his full upper body, the desk, microphone setup, and surrounding negative space. The background is minimalβno posters, shelves, or decorations on the wallsβjust clean darkness with subtle neon glow. The style is cinematic and photorealistic. Head & toros are both proportional. office [!] 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, 4.31it/s] 11%|β | 3/28 [00:00<00:06, 4.08it/s] 14%|ββ | 4/28 [00:00<00:06, 3.97it/s] 18%|ββ | 5/28 [00:01<00:05, 3.92it/s] 21%|βββ | 6/28 [00:01<00:05, 3.89it/s] 25%|βββ | 7/28 [00:01<00:05, 3.87it/s] 29%|βββ | 8/28 [00:02<00:05, 3.85it/s] 32%|ββββ | 9/28 [00:02<00:04, 3.85it/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, 3.83it/s] 57%|ββββββ | 16/28 [00:04<00:03, 3.83it/s] 61%|ββββββ | 17/28 [00:04<00:02, 3.83it/s] 64%|βββββββ | 18/28 [00:04<00:02, 3.82it/s] 68%|βββββββ | 19/28 [00:04<00:02, 3.82it/s] 71%|ββββββββ | 20/28 [00:05<00:02, 3.83it/s] 75%|ββββββββ | 21/28 [00:05<00:01, 3.83it/s] 79%|ββββββββ | 22/28 [00:05<00:01, 3.82it/s] 82%|βββββββββ | 23/28 [00:05<00:01, 3.82it/s] 86%|βββββββββ | 24/28 [00:06<00:01, 3.81it/s] 89%|βββββββββ | 25/28 [00:06<00:00, 3.82it/s] 93%|ββββββββββ| 26/28 [00:06<00:00, 3.82it/s] 96%|ββββββββββ| 27/28 [00:07<00:00, 3.82it/s] 100%|ββββββββββ| 28/28 [00:07<00:00, 3.82it/s] 100%|ββββββββββ| 28/28 [00:07<00:00, 3.85it/s] Total safe images: 1 out of 1
Version Details
- Version ID
7461cb1dbb5a85f3dd53f62b03634d4c4bb7c682fbf8d40dfe29efe0bb4a6656- Version Created
- August 5, 2025