aiscaleandgrow/jivatts-character1-lora 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"jivatts shooting a gun in an Ultra-cinematic portrait of a secret agent in a high-stakes spy thriller, cinematic lighting, dramatic shadows, luxury European city backdrop (like Paris or Prague), elegant tailored suit, intense gaze, sleek hairstyle, dusk atmosphere, shallow depth of field, golden hour light, dynamic camera angle, shot on 35mm film, professional color grading, volumetric lighting, motion blur on background, directed by Christopher Nolan."
Output



Performance Metrics
32.46s
Prediction Time
32.65s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "jivatts shooting a gun in an Ultra-cinematic portrait of a secret agent in a high-stakes spy thriller, cinematic lighting, dramatic shadows, luxury European city backdrop (like Paris or Prague), elegant tailored suit, intense gaze, sleek hairstyle, dusk atmosphere, shallow depth of field, golden hour light, dynamic camera angle, shot on 35mm film, professional color grading, volumetric lighting, motion blur on background, directed by Christopher Nolan.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "16:9",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.75,
"extra_lora_scale": 1,
"num_inference_steps": 27
}
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=26290816700416 Downloading weights 2025-04-19T12:07:47Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpd5jazulc/weights url=https://replicate.delivery/xezq/fZuZjAewpbrswE1BlzTewfz7tg2cIs1T6cAZHnBuWha8mORSB/trained_model.tar 2025-04-19T12:07:47Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-04-19T12:07:50Z | INFO | [ Complete ] dest=/tmp/tmpd5jazulc/weights size="462 MB" total_elapsed=3.141s url=https://replicate.delivery/xezq/fZuZjAewpbrswE1BlzTewfz7tg2cIs1T6cAZHnBuWha8mORSB/trained_model.tar Downloaded weights in 3.17s Loaded LoRAs in 3.81s Using seed: 27690 Prompt: jivatts shooting a gun in an Ultra-cinematic portrait of a secret agent in a high-stakes spy thriller, cinematic lighting, dramatic shadows, luxury European city backdrop (like Paris or Prague), elegant tailored suit, intense gaze, sleek hairstyle, dusk atmosphere, shallow depth of field, golden hour light, dynamic camera angle, shot on 35mm film, professional color grading, volumetric lighting, motion blur on background, directed by Christopher Nolan. [!] txt2img mode 0%| | 0/27 [00:00<?, ?it/s] 4%|▎ | 1/27 [00:01<00:26, 1.03s/it] 7%|▋ | 2/27 [00:01<00:22, 1.11it/s] 11%|█ | 3/27 [00:02<00:23, 1.04it/s] 15%|█▍ | 4/27 [00:03<00:22, 1.01it/s] 19%|█▊ | 5/27 [00:04<00:22, 1.00s/it] 22%|██▏ | 6/27 [00:05<00:21, 1.01s/it] 26%|██▌ | 7/27 [00:06<00:20, 1.02s/it] 30%|██▉ | 8/27 [00:08<00:19, 1.02s/it] 33%|███▎ | 9/27 [00:09<00:18, 1.03s/it] 37%|███▋ | 10/27 [00:10<00:17, 1.03s/it] 41%|████ | 11/27 [00:11<00:16, 1.03s/it] 44%|████▍ | 12/27 [00:12<00:15, 1.03s/it] 48%|████▊ | 13/27 [00:13<00:14, 1.03s/it] 52%|█████▏ | 14/27 [00:14<00:13, 1.03s/it] 56%|█████▌ | 15/27 [00:15<00:12, 1.03s/it] 59%|█████▉ | 16/27 [00:16<00:11, 1.03s/it] 63%|██████▎ | 17/27 [00:17<00:10, 1.03s/it] 67%|██████▋ | 18/27 [00:18<00:09, 1.03s/it] 70%|███████ | 19/27 [00:19<00:08, 1.03s/it] 74%|███████▍ | 20/27 [00:20<00:07, 1.03s/it] 78%|███████▊ | 21/27 [00:21<00:06, 1.03s/it] 81%|████████▏ | 22/27 [00:22<00:05, 1.03s/it] 85%|████████▌ | 23/27 [00:23<00:04, 1.03s/it] 89%|████████▉ | 24/27 [00:24<00:03, 1.03s/it] 93%|█████████▎| 25/27 [00:25<00:02, 1.03s/it] 96%|█████████▋| 26/27 [00:26<00:01, 1.03s/it] 100%|██████████| 27/27 [00:27<00:00, 1.03s/it] 100%|██████████| 27/27 [00:27<00:00, 1.02s/it] Total safe images: 4 out of 4
Version Details
- Version ID
fa28c731a3dec7befed7173ab2e2a7b67115e91d6f407b3228fc76d272ee2bf7- Version Created
- April 22, 2025