jannafta/crislo777 πΌοΈπ’βπβ β πΌοΈ
About
Example Output
"
crislo777 stands firmly in the center of the UFC octagon, his lean, muscular physique highlighted by the stark, dramatic lighting of the arena. He wears only a pair of white Real Madrid shorts, subtly accented with fine details of his classic soccer gear, a striking contrast to the rugged, intense environment of the octagon. His bare, sculpted torso glistens under the lights, showcasing powerful abs, defined shoulders, and the prominent tattoo of the Real Madrid crest emblazoned across his chest. The tattoo, inked with fine, dark lines and shading, embodies his dedication, standing out boldly against his tanned skin.
His stance is one of fierce readinessβfeet planted, fists raised, and his body slightly angled, prepared for a fierce battle. His expression is unwavering, brows furrowed and eyes intensely focused on his opponent, radiating confidence and a warrior's determination. Veins pulse along his forearms and biceps, underscoring his readiness for combat. Around him, the blurred silhouettes of an excited crowd create a backdrop of energy, their movement and cheers adding a sense of raw, dynamic power to the scene. The octagon floor bears the marks of previous fightsβscuffs and scratches across the mat add a gritty authenticity, contrasting with the clean, iconic Real Madrid shorts that connect him to his soccer legacy even in the heart of this intense MMA setting.
"Output
Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "crislo777 stands firmly in the center of the UFC octagon, his lean, muscular physique highlighted by the stark, dramatic lighting of the arena. He wears only a pair of white Real Madrid shorts, subtly accented with fine details of his classic soccer gear, a striking contrast to the rugged, intense environment of the octagon. His bare, sculpted torso glistens under the lights, showcasing powerful abs, defined shoulders, and the prominent tattoo of the Real Madrid crest emblazoned across his chest. The tattoo, inked with fine, dark lines and shading, embodies his dedication, standing out boldly against his tanned skin.\n\nHis stance is one of fierce readinessβfeet planted, fists raised, and his body slightly angled, prepared for a fierce battle. His expression is unwavering, brows furrowed and eyes intensely focused on his opponent, radiating confidence and a warrior's determination. Veins pulse along his forearms and biceps, underscoring his readiness for combat. Around him, the blurred silhouettes of an excited crowd create a backdrop of energy, their movement and cheers adding a sense of raw, dynamic power to the scene. The octagon floor bears the marks of previous fightsβscuffs and scratches across the mat add a gritty authenticity, contrasting with the clean, iconic Real Madrid shorts that connect him to his soccer legacy even in the heart of this intense MMA setting.",
"lora_scale": 1,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"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: 20118 Prompt: crislo777 stands firmly in the center of the UFC octagon, his lean, muscular physique highlighted by the stark, dramatic lighting of the arena. He wears only a pair of white Real Madrid shorts, subtly accented with fine details of his classic soccer gear, a striking contrast to the rugged, intense environment of the octagon. His bare, sculpted torso glistens under the lights, showcasing powerful abs, defined shoulders, and the prominent tattoo of the Real Madrid crest emblazoned across his chest. The tattoo, inked with fine, dark lines and shading, embodies his dedication, standing out boldly against his tanned skin. His stance is one of fierce readinessβfeet planted, fists raised, and his body slightly angled, prepared for a fierce battle. His expression is unwavering, brows furrowed and eyes intensely focused on his opponent, radiating confidence and a warrior's determination. Veins pulse along his forearms and biceps, underscoring his readiness for combat. Around him, the blurred silhouettes of an excited crowd create a backdrop of energy, their movement and cheers adding a sense of raw, dynamic power to the scene. The octagon floor bears the marks of previous fightsβscuffs and scratches across the mat add a gritty authenticity, contrasting with the clean, iconic Real Madrid shorts that connect him to his soccer legacy even in the heart of this intense MMA setting. [!] txt2img mode Using dev model free=29463400222720 Downloading weights 2024-11-13T13:43:43Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpn65ik7av/weights url=https://replicate.delivery/yhqm/g9nA7TsPUqIyP1n6OxfFg5JSWu9Aff8YshgQhoOzZ8UrmVUnA/trained_model.tar 2024-11-13T13:43:49Z | INFO | [ Complete ] dest=/tmp/tmpn65ik7av/weights size="172 MB" total_elapsed=5.938s url=https://replicate.delivery/yhqm/g9nA7TsPUqIyP1n6OxfFg5JSWu9Aff8YshgQhoOzZ8UrmVUnA/trained_model.tar Downloaded weights in 5.96s Loaded LoRAs in 6.58s 0%| | 0/28 [00:00<?, ?it/s] 4%|β | 1/28 [00:00<00:08, 3.05it/s] 7%|β | 2/28 [00:00<00:07, 3.41it/s] 11%|β | 3/28 [00:00<00:07, 3.24it/s] 14%|ββ | 4/28 [00:01<00:07, 3.17it/s] 18%|ββ | 5/28 [00:01<00:07, 3.13it/s] 21%|βββ | 6/28 [00:01<00:07, 3.11it/s] 25%|βββ | 7/28 [00:02<00:06, 3.09it/s] 29%|βββ | 8/28 [00:02<00:06, 3.08it/s] 32%|ββββ | 9/28 [00:02<00:06, 3.08it/s] 36%|ββββ | 10/28 [00:03<00:05, 3.07it/s] 39%|ββββ | 11/28 [00:03<00:05, 3.07it/s] 43%|βββββ | 12/28 [00:03<00:05, 3.07it/s] 46%|βββββ | 13/28 [00:04<00:04, 3.07it/s] 50%|βββββ | 14/28 [00:04<00:04, 3.07it/s] 54%|ββββββ | 15/28 [00:04<00:04, 3.06it/s] 57%|ββββββ | 16/28 [00:05<00:03, 3.06it/s] 61%|ββββββ | 17/28 [00:05<00:03, 3.06it/s] 64%|βββββββ | 18/28 [00:05<00:03, 3.06it/s] 68%|βββββββ | 19/28 [00:06<00:02, 3.06it/s] 71%|ββββββββ | 20/28 [00:06<00:02, 3.06it/s] 75%|ββββββββ | 21/28 [00:06<00:02, 3.06it/s] 79%|ββββββββ | 22/28 [00:07<00:01, 3.06it/s] 82%|βββββββββ | 23/28 [00:07<00:01, 3.06it/s] 86%|βββββββββ | 24/28 [00:07<00:01, 3.06it/s] 89%|βββββββββ | 25/28 [00:08<00:00, 3.06it/s] 93%|ββββββββββ| 26/28 [00:08<00:00, 3.06it/s] 96%|ββββββββββ| 27/28 [00:08<00:00, 3.06it/s] 100%|ββββββββββ| 28/28 [00:09<00:00, 3.06it/s] 100%|ββββββββββ| 28/28 [00:09<00:00, 3.08it/s]
Version Details
- Version ID
f87ebcc4d065e33ffee3ca71579bf19cbe158b1e37114861805ae6135c53c562- Version Created
- October 25, 2024