parkjaewoo-1/cat_rudy_v2 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"Ultra-photorealistic studio photograph of CATRUDY, a moderately plump ginger domestic short-haired cat with round soft cheeks, golden-green eyes, small rounded ears, and a soft pink nose. CATRUDY is sitting upright behind a warm wooden table, black seamless background, cinematic soft lighting (key light 45 degrees, fill light -1 stop), 85mm lens, shallow depth of field, realistic fur texture with fine micro-strands, 8k RAW photo look."
Output



Performance Metrics
41.90s
Prediction Time
41.93s
Total Time
All Input Parameters
{
"seed": 1001,
"model": "dev",
"prompt": "Ultra-photorealistic studio photograph of CATRUDY, a moderately plump ginger domestic short-haired cat with round soft cheeks, golden-green eyes, small rounded ears, and a soft pink nose. CATRUDY is sitting upright behind a warm wooden table, black seamless background, cinematic soft lighting (key light 45 degrees, fill light -1 stop), 85mm lens, shallow depth of field, realistic fur texture with fine micro-strands, 8k RAW photo look.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 2,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 40
}
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=23550006898688 Downloading weights 2025-10-09T17:48:11Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpi1ac6iin/weights url=https://replicate.delivery/xezq/UpfuT4bjCP3NBKfxy3n0V6XQ530HPRdIOvLOBR08dhghfz6qA/trained_model.tar 2025-10-09T17:48:11Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-10-09T17:48:11Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/UpfuT4bjCP3NBKfxy3n0V6XQ530HPRdIOvLOBR08dhghfz6qA/trained_model.tar url=https://replicate.delivery/xezq/UpfuT4bjCP3NBKfxy3n0V6XQ530HPRdIOvLOBR08dhghfz6qA/trained_model.tar 2025-10-09T17:48:11Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/8aecc8cda0734766fb55a7f577d0fc2b1015b317529274c808b1968c9b3a7676?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20251009%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20251009T174811Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=2cee4d2719e1f2970a742d3e6972587ce7550b3a764fec31a6d3344480a1c5e8 url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/UpfuT4bjCP3NBKfxy3n0V6XQ530HPRdIOvLOBR08dhghfz6qA/trained_model.tar 2025-10-09T17:48:12Z | INFO | [ Complete ] dest=/tmp/tmpi1ac6iin/weights size="688 MB" total_elapsed=0.748s url=https://replicate.delivery/xezq/UpfuT4bjCP3NBKfxy3n0V6XQ530HPRdIOvLOBR08dhghfz6qA/trained_model.tar Downloaded weights in 0.82s Loaded LoRAs in 1.49s Using seed: 1001 Prompt: Ultra-photorealistic studio photograph of CATRUDY, a moderately plump ginger domestic short-haired cat with round soft cheeks, golden-green eyes, small rounded ears, and a soft pink nose. CATRUDY is sitting upright behind a warm wooden table, black seamless background, cinematic soft lighting (key light 45 degrees, fill light -1 stop), 85mm lens, shallow depth of field, realistic fur texture with fine micro-strands, 8k RAW photo look. [!] txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:37, 1.03it/s] 5%|▌ | 2/40 [00:01<00:32, 1.16it/s] 8%|▊ | 3/40 [00:02<00:33, 1.10it/s] 10%|█ | 4/40 [00:03<00:33, 1.07it/s] 12%|█▎ | 5/40 [00:04<00:33, 1.05it/s] 15%|█▌ | 6/40 [00:05<00:32, 1.04it/s] 18%|█▊ | 7/40 [00:06<00:31, 1.04it/s] 20%|██ | 8/40 [00:07<00:30, 1.04it/s] 22%|██▎ | 9/40 [00:08<00:29, 1.03it/s] 25%|██▌ | 10/40 [00:09<00:29, 1.03it/s] 28%|██▊ | 11/40 [00:10<00:28, 1.03it/s] 30%|███ | 12/40 [00:11<00:27, 1.03it/s] 32%|███▎ | 13/40 [00:12<00:26, 1.03it/s] 35%|███▌ | 14/40 [00:13<00:25, 1.03it/s] 38%|███▊ | 15/40 [00:14<00:24, 1.03it/s] 40%|████ | 16/40 [00:15<00:23, 1.03it/s] 42%|████▎ | 17/40 [00:16<00:22, 1.03it/s] 45%|████▌ | 18/40 [00:17<00:21, 1.03it/s] 48%|████▊ | 19/40 [00:18<00:20, 1.03it/s] 50%|█████ | 20/40 [00:19<00:19, 1.03it/s] 52%|█████▎ | 21/40 [00:20<00:18, 1.03it/s] 55%|█████▌ | 22/40 [00:21<00:17, 1.03it/s] 57%|█████▊ | 23/40 [00:22<00:16, 1.03it/s] 60%|██████ | 24/40 [00:23<00:15, 1.03it/s] 62%|██████▎ | 25/40 [00:24<00:14, 1.03it/s] 65%|██████▌ | 26/40 [00:25<00:13, 1.03it/s] 68%|██████▊ | 27/40 [00:26<00:12, 1.03it/s] 70%|███████ | 28/40 [00:27<00:11, 1.03it/s] 72%|███████▎ | 29/40 [00:28<00:10, 1.03it/s] 75%|███████▌ | 30/40 [00:28<00:09, 1.03it/s] 78%|███████▊ | 31/40 [00:29<00:08, 1.03it/s] 80%|████████ | 32/40 [00:30<00:07, 1.03it/s] 82%|████████▎ | 33/40 [00:31<00:06, 1.03it/s] 85%|████████▌ | 34/40 [00:32<00:05, 1.03it/s] 88%|████████▊ | 35/40 [00:33<00:04, 1.03it/s] 90%|█████████ | 36/40 [00:34<00:03, 1.03it/s] 92%|█████████▎| 37/40 [00:35<00:02, 1.03it/s] 95%|█████████▌| 38/40 [00:36<00:01, 1.03it/s] 98%|█████████▊| 39/40 [00:37<00:00, 1.03it/s] 100%|██████████| 40/40 [00:38<00:00, 1.03it/s] 100%|██████████| 40/40 [00:38<00:00, 1.03it/s] Total safe images: 4 out of 4
Version Details
- Version ID
08ea3dfde168eed9cdc4956ba0e9a506f56c9f74f96c0809a3250d10a9c77986- Version Created
- October 9, 2025