jerakst/banochkatwo 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"There's a jar on the table. BANOCKAMOYAKA"
Output

Performance Metrics
30.06s
Prediction Time
30.11s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "There's a jar on the table. BANOCKAMOYAKA",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 2,
"aspect_ratio": "1:1",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 99,
"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=27045654564864 Downloading weights 2025-03-19T05:20:06Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmprfehikzx/weights url=https://replicate.delivery/xezq/oxUEbTxB9h5PMFh0D49WBkUC4Af1R1FVszUrB28shqaOKANKA/trained_model.tar 2025-03-19T05:20:09Z | INFO | [ Complete ] dest=/tmp/tmprfehikzx/weights size="537 MB" total_elapsed=3.152s url=https://replicate.delivery/xezq/oxUEbTxB9h5PMFh0D49WBkUC4Af1R1FVszUrB28shqaOKANKA/trained_model.tar Downloaded weights in 3.19s Loaded LoRAs in 3.83s Using seed: 28124 Prompt: There's a jar on the table. BANOCKAMOYAKA [!] txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:25, 1.95it/s] 4%|▍ | 2/50 [00:00<00:21, 2.21it/s] 6%|▌ | 3/50 [00:01<00:22, 2.08it/s] 8%|▊ | 4/50 [00:01<00:22, 2.02it/s] 10%|█ | 5/50 [00:02<00:22, 1.99it/s] 12%|█▏ | 6/50 [00:02<00:22, 1.97it/s] 14%|█▍ | 7/50 [00:03<00:22, 1.95it/s] 16%|█▌ | 8/50 [00:04<00:21, 1.95it/s] 18%|█▊ | 9/50 [00:04<00:21, 1.94it/s] 20%|██ | 10/50 [00:05<00:20, 1.94it/s] 22%|██▏ | 11/50 [00:05<00:20, 1.94it/s] 24%|██▍ | 12/50 [00:06<00:19, 1.93it/s] 26%|██▌ | 13/50 [00:06<00:19, 1.93it/s] 28%|██▊ | 14/50 [00:07<00:18, 1.93it/s] 30%|███ | 15/50 [00:07<00:18, 1.93it/s] 32%|███▏ | 16/50 [00:08<00:17, 1.93it/s] 34%|███▍ | 17/50 [00:08<00:17, 1.93it/s] 36%|███▌ | 18/50 [00:09<00:16, 1.93it/s] 38%|███▊ | 19/50 [00:09<00:16, 1.93it/s] 40%|████ | 20/50 [00:10<00:15, 1.93it/s] 42%|████▏ | 21/50 [00:10<00:15, 1.93it/s] 44%|████▍ | 22/50 [00:11<00:14, 1.93it/s] 46%|████▌ | 23/50 [00:11<00:13, 1.93it/s] 48%|████▊ | 24/50 [00:12<00:13, 1.93it/s] 50%|█████ | 25/50 [00:12<00:12, 1.93it/s] 52%|█████▏ | 26/50 [00:13<00:12, 1.93it/s] 54%|█████▍ | 27/50 [00:13<00:11, 1.93it/s] 56%|█████▌ | 28/50 [00:14<00:11, 1.93it/s] 58%|█████▊ | 29/50 [00:14<00:10, 1.93it/s] 60%|██████ | 30/50 [00:15<00:10, 1.93it/s] 62%|██████▏ | 31/50 [00:15<00:09, 1.93it/s] 64%|██████▍ | 32/50 [00:16<00:09, 1.93it/s] 66%|██████▌ | 33/50 [00:16<00:08, 1.93it/s] 68%|██████▊ | 34/50 [00:17<00:08, 1.93it/s] 70%|███████ | 35/50 [00:18<00:07, 1.93it/s] 72%|███████▏ | 36/50 [00:18<00:07, 1.93it/s] 74%|███████▍ | 37/50 [00:19<00:06, 1.93it/s] 76%|███████▌ | 38/50 [00:19<00:06, 1.93it/s] 78%|███████▊ | 39/50 [00:20<00:05, 1.93it/s] 80%|████████ | 40/50 [00:20<00:05, 1.93it/s] 82%|████████▏ | 41/50 [00:21<00:04, 1.93it/s] 84%|████████▍ | 42/50 [00:21<00:04, 1.93it/s] 86%|████████▌ | 43/50 [00:22<00:03, 1.93it/s] 88%|████████▊ | 44/50 [00:22<00:03, 1.93it/s] 90%|█████████ | 45/50 [00:23<00:02, 1.93it/s] 92%|█████████▏| 46/50 [00:23<00:02, 1.93it/s] 94%|█████████▍| 47/50 [00:24<00:01, 1.93it/s] 96%|█████████▌| 48/50 [00:24<00:01, 1.93it/s] 98%|█████████▊| 49/50 [00:25<00:00, 1.93it/s] 100%|██████████| 50/50 [00:25<00:00, 1.93it/s] 100%|██████████| 50/50 [00:25<00:00, 1.94it/s] Total safe images: 2 out of 2
Version Details
- Version ID
8b4594595a7a8489139b09279161822e829361251db7990b4d745dfbfb5befa3- Version Created
- March 19, 2025