biguloff/sarmat-ttkv 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"
A hyper-realistic portrait of a rugged masculine bodybuilder man, identified as ‘SRMT,’ with a tough, intense expression, standing in a gritty, urban setting. He has a scruffy beard, styled dark hair with a slight spike, and is wearing dark sunglasses, adding an air of mystery and authority. His face is serious and weathered, showing faint lines and stubble that emphasize a life of hardships and no-nonsense attitude. The man is dressed in a dark, long trench coat with a wide, pointed collar, layered over a black button-up shirt with a subtle floral pattern that brings a hint of style to his otherwise rough appearance.
His posture is casual yet confident, with his hands in his pockets, standing firmly as if prepared for any challenge. The lighting is moody, casting soft shadows that highlight the contours of his face, adding depth and a dramatic effect to his expression. The background is a textured, dark wall with faint graffiti, enhancing the gritty, almost dystopian feel of the scene.
The overall color palette is dark and muted, enhancing the tough, somber atmosphere. This image draws inspiration from the character Butcher from The Boys series, yet incorporates the unique elements of ‘SRMT’ with his iconic sunglasses, capturing an intense personality, resilience, and gritty realism. Each facial feature, texture, and shadow is rendered in intricate detail, evoking a sense of strength and readiness for confrontation.
"Output
Performance Metrics
38.13s
Prediction Time
38.23s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A hyper-realistic portrait of a rugged masculine bodybuilder man, identified as ‘SRMT,’ with a tough, intense expression, standing in a gritty, urban setting. He has a scruffy beard, styled dark hair with a slight spike, and is wearing dark sunglasses, adding an air of mystery and authority. His face is serious and weathered, showing faint lines and stubble that emphasize a life of hardships and no-nonsense attitude. The man is dressed in a dark, long trench coat with a wide, pointed collar, layered over a black button-up shirt with a subtle floral pattern that brings a hint of style to his otherwise rough appearance.\n\nHis posture is casual yet confident, with his hands in his pockets, standing firmly as if prepared for any challenge. The lighting is moody, casting soft shadows that highlight the contours of his face, adding depth and a dramatic effect to his expression. The background is a textured, dark wall with faint graffiti, enhancing the gritty, almost dystopian feel of the scene.\n\nThe overall color palette is dark and muted, enhancing the tough, somber atmosphere. This image draws inspiration from the character Butcher from The Boys series, yet incorporates the unique elements of ‘SRMT’ with his iconic sunglasses, capturing an intense personality, resilience, and gritty realism. Each facial feature, texture, and shadow is rendered in intricate detail, evoking a sense of strength and readiness for confrontation.",
"lora_scale": -0.92,
"num_outputs": 4,
"aspect_ratio": "9:16",
"output_format": "png",
"guidance_scale": 3.19,
"output_quality": 90,
"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
Using seed: 12418 Prompt: A hyper-realistic portrait of a rugged masculine bodybuilder man, identified as ‘SRMT,’ with a tough, intense expression, standing in a gritty, urban setting. He has a scruffy beard, styled dark hair with a slight spike, and is wearing dark sunglasses, adding an air of mystery and authority. His face is serious and weathered, showing faint lines and stubble that emphasize a life of hardships and no-nonsense attitude. The man is dressed in a dark, long trench coat with a wide, pointed collar, layered over a black button-up shirt with a subtle floral pattern that brings a hint of style to his otherwise rough appearance. His posture is casual yet confident, with his hands in his pockets, standing firmly as if prepared for any challenge. The lighting is moody, casting soft shadows that highlight the contours of his face, adding depth and a dramatic effect to his expression. The background is a textured, dark wall with faint graffiti, enhancing the gritty, almost dystopian feel of the scene. The overall color palette is dark and muted, enhancing the tough, somber atmosphere. This image draws inspiration from the character Butcher from The Boys series, yet incorporates the unique elements of ‘SRMT’ with his iconic sunglasses, capturing an intense personality, resilience, and gritty realism. Each facial feature, texture, and shadow is rendered in intricate detail, evoking a sense of strength and readiness for confrontation. [!] txt2img mode Using dev model Loaded LoRAs in 0.62s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:34, 1.27s/it] 7%|▋ | 2/28 [00:02<00:30, 1.15s/it] 11%|█ | 3/28 [00:03<00:30, 1.21s/it] 14%|█▍ | 4/28 [00:04<00:29, 1.23s/it] 18%|█▊ | 5/28 [00:06<00:28, 1.24s/it] 21%|██▏ | 6/28 [00:07<00:27, 1.25s/it] 25%|██▌ | 7/28 [00:08<00:26, 1.26s/it] 29%|██▊ | 8/28 [00:09<00:25, 1.26s/it] 32%|███▏ | 9/28 [00:11<00:23, 1.26s/it] 36%|███▌ | 10/28 [00:12<00:22, 1.26s/it] 39%|███▉ | 11/28 [00:13<00:21, 1.26s/it] 43%|████▎ | 12/28 [00:15<00:20, 1.26s/it] 46%|████▋ | 13/28 [00:16<00:18, 1.27s/it] 50%|█████ | 14/28 [00:17<00:17, 1.27s/it] 54%|█████▎ | 15/28 [00:18<00:16, 1.27s/it] 57%|█████▋ | 16/28 [00:20<00:15, 1.27s/it] 61%|██████ | 17/28 [00:21<00:13, 1.27s/it] 64%|██████▍ | 18/28 [00:22<00:12, 1.27s/it] 68%|██████▊ | 19/28 [00:23<00:11, 1.27s/it] 71%|███████▏ | 20/28 [00:25<00:10, 1.27s/it] 75%|███████▌ | 21/28 [00:26<00:08, 1.27s/it] 79%|███████▊ | 22/28 [00:27<00:07, 1.27s/it] 82%|████████▏ | 23/28 [00:28<00:06, 1.27s/it] 86%|████████▌ | 24/28 [00:30<00:05, 1.27s/it] 89%|████████▉ | 25/28 [00:31<00:03, 1.27s/it] 93%|█████████▎| 26/28 [00:32<00:02, 1.27s/it] 96%|█████████▋| 27/28 [00:34<00:01, 1.27s/it] 100%|██████████| 28/28 [00:35<00:00, 1.27s/it] 100%|██████████| 28/28 [00:35<00:00, 1.26s/it]
Version Details
- Version ID
924caeebcefedbde4e4a71f0bb6a230a972390a2f33fe6d723ea1e3eb454843f- Version Created
- November 5, 2024