baywoodvevo/jordan-baywood-generator2 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"change person to Jordan"
Output



Performance Metrics
21.29s
Prediction Time
21.44s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/NPvpJ8p0uvR2iQQJhDAJMdt2NK7zgfuhwfQv2dSMKQQ3IzM2/s3MXEqA6VIk-HD.jpg",
"model": "dev",
"prompt": "change person to Jordan",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "16:9",
"output_format": "jpg",
"guidance_scale": 2,
"output_quality": 100,
"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=26207836012544 Downloading weights 2025-07-25T03:47:54Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpqy3ma9wm/weights url=https://replicate.delivery/xezq/q9Sty74HM15lDp1JCRmB7UYYqcoAy2T3eifxWCHgaYVX7vDVA/trained_model.tar 2025-07-25T03:47:54Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-07-25T03:47:54Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/q9Sty74HM15lDp1JCRmB7UYYqcoAy2T3eifxWCHgaYVX7vDVA/trained_model.tar url=https://replicate.delivery/xezq/q9Sty74HM15lDp1JCRmB7UYYqcoAy2T3eifxWCHgaYVX7vDVA/trained_model.tar 2025-07-25T03:47:54Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/de70626a4c8f03338addb9e3dc06df419a3108f4eb7d838ca55c197f0dd62f3f?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250725%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250725T034754Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=961092cc34d9d7830f6b59aa12b2d2f926ad4e4cfb947de6c3e2bf2f4f70f865 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/q9Sty74HM15lDp1JCRmB7UYYqcoAy2T3eifxWCHgaYVX7vDVA/trained_model.tar 2025-07-25T03:47:54Z | INFO | [ Complete ] dest=/tmp/tmpqy3ma9wm/weights size="172 MB" total_elapsed=0.291s url=https://replicate.delivery/xezq/q9Sty74HM15lDp1JCRmB7UYYqcoAy2T3eifxWCHgaYVX7vDVA/trained_model.tar Downloaded weights in 0.35s Loaded LoRAs in 0.93s Using seed: 37046 Prompt: change person to Jordan Input image size: 1280x720 [!] Resizing input image from 1280x720 to 1280x720 [!] img2img mode 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:14, 1.47it/s] 9%|▊ | 2/23 [00:01<00:16, 1.28it/s] 13%|█▎ | 3/23 [00:02<00:16, 1.23it/s] 17%|█▋ | 4/23 [00:03<00:15, 1.21it/s] 22%|██▏ | 5/23 [00:04<00:15, 1.20it/s] 26%|██▌ | 6/23 [00:04<00:14, 1.19it/s] 30%|███ | 7/23 [00:05<00:13, 1.19it/s] 35%|███▍ | 8/23 [00:06<00:12, 1.18it/s] 39%|███▉ | 9/23 [00:07<00:11, 1.18it/s] 43%|████▎ | 10/23 [00:08<00:11, 1.18it/s] 48%|████▊ | 11/23 [00:09<00:10, 1.18it/s] 52%|█████▏ | 12/23 [00:10<00:09, 1.18it/s] 57%|█████▋ | 13/23 [00:10<00:08, 1.18it/s] 61%|██████ | 14/23 [00:11<00:07, 1.18it/s] 65%|██████▌ | 15/23 [00:12<00:06, 1.18it/s] 70%|██████▉ | 16/23 [00:13<00:05, 1.17it/s] 74%|███████▍ | 17/23 [00:14<00:05, 1.17it/s] 78%|███████▊ | 18/23 [00:15<00:04, 1.17it/s] 83%|████████▎ | 19/23 [00:15<00:03, 1.17it/s] 87%|████████▋ | 20/23 [00:16<00:02, 1.17it/s] 91%|█████████▏| 21/23 [00:17<00:01, 1.17it/s] 96%|█████████▌| 22/23 [00:18<00:00, 1.17it/s] 100%|██████████| 23/23 [00:19<00:00, 1.17it/s] 100%|██████████| 23/23 [00:19<00:00, 1.19it/s] Total safe images: 4 out of 4
Version Details
- Version ID
b8f41d512558737d8408fc9e7e0427d1da1149972cf8cdbb6befe9ec91fd27dd- Version Created
- July 23, 2025