maxschock/ingolf πΌοΈπ’βπβ β πΌοΈ
About
Example Output
Prompt:
"INGOLF stands alone on a long, empty road stretching into the distance. He wears a sleek but understated suit, his jacket open, symbolizing determination and self-leadership. His gaze is directed towards the camera. The scene is bathed in soft morning lightβa moment of reflection and inner strength. The background remains minimalistic, a quiet yet powerful symbol of the personal journey of leadership."
Output
Performance Metrics
12.06s
Prediction Time
13.04s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "INGOLF stands alone on a long, empty road stretching into the distance. He wears a sleek but understated suit, his jacket open, symbolizing determination and self-leadership. His gaze is directed towards the camera. The scene is bathed in soft morning lightβa moment of reflection and inner strength. The background remains minimalistic, a quiet yet powerful symbol of the personal journey of leadership.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 30
}
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=27756007313408 Downloading weights 2025-03-06T16:57:59Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp6jph7u2u/weights url=https://replicate.delivery/xezq/ntwUfN56d3yePE1EdVrDGI1ucCmm5Qyle3QyeOUfgjl7P7ZiC/trained_model.tar 2025-03-06T16:58:03Z | INFO | [ Complete ] dest=/tmp/tmp6jph7u2u/weights size="172 MB" total_elapsed=3.653s url=https://replicate.delivery/xezq/ntwUfN56d3yePE1EdVrDGI1ucCmm5Qyle3QyeOUfgjl7P7ZiC/trained_model.tar Downloaded weights in 3.68s Loaded LoRAs in 4.24s Using seed: 44512 Prompt: INGOLF stands alone on a long, empty road stretching into the distance. He wears a sleek but understated suit, his jacket open, symbolizing determination and self-leadership. His gaze is directed towards the camera. The scene is bathed in soft morning lightβa moment of reflection and inner strength. The background remains minimalistic, a quiet yet powerful symbol of the personal journey of leadership. [!] txt2img mode 0%| | 0/30 [00:00<?, ?it/s] 3%|β | 1/30 [00:00<00:07, 4.03it/s] 7%|β | 2/30 [00:00<00:06, 4.57it/s] 10%|β | 3/30 [00:00<00:06, 4.32it/s] 13%|ββ | 4/30 [00:00<00:06, 4.20it/s] 17%|ββ | 5/30 [00:01<00:06, 4.14it/s] 20%|ββ | 6/30 [00:01<00:05, 4.10it/s] 23%|βββ | 7/30 [00:01<00:05, 4.08it/s] 27%|βββ | 8/30 [00:01<00:05, 4.07it/s] 30%|βββ | 9/30 [00:02<00:05, 4.06it/s] 33%|ββββ | 10/30 [00:02<00:04, 4.05it/s] 37%|ββββ | 11/30 [00:02<00:04, 4.05it/s] 40%|ββββ | 12/30 [00:02<00:04, 4.05it/s] 43%|βββββ | 13/30 [00:03<00:04, 4.03it/s] 47%|βββββ | 14/30 [00:03<00:03, 4.02it/s] 50%|βββββ | 15/30 [00:03<00:03, 4.03it/s] 53%|ββββββ | 16/30 [00:03<00:03, 4.03it/s] 57%|ββββββ | 17/30 [00:04<00:03, 4.04it/s] 60%|ββββββ | 18/30 [00:04<00:02, 4.04it/s] 63%|βββββββ | 19/30 [00:04<00:02, 4.04it/s] 67%|βββββββ | 20/30 [00:04<00:02, 4.05it/s] 70%|βββββββ | 21/30 [00:05<00:02, 4.05it/s] 73%|ββββββββ | 22/30 [00:05<00:01, 4.04it/s] 77%|ββββββββ | 23/30 [00:05<00:01, 4.04it/s] 80%|ββββββββ | 24/30 [00:05<00:01, 4.05it/s] 83%|βββββββββ | 25/30 [00:06<00:01, 4.05it/s] 87%|βββββββββ | 26/30 [00:06<00:00, 4.04it/s] 90%|βββββββββ | 27/30 [00:06<00:00, 4.05it/s] 93%|ββββββββββ| 28/30 [00:06<00:00, 4.05it/s] 97%|ββββββββββ| 29/30 [00:07<00:00, 4.05it/s] 100%|ββββββββββ| 30/30 [00:07<00:00, 4.05it/s] 100%|ββββββββββ| 30/30 [00:07<00:00, 4.07it/s] Total safe images: 1 out of 1
Version Details
- Version ID
e11b9840480367375eb0a19f5eabd4285d362d1bf7e1a689f29e5491efa2b7f3- Version Created
- February 26, 2025