laurabauducco1998/jazmin 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"
jaz, taking a selfie in front of a mirror, wearing a blue and white sports outfit with a cropped top and matching hoodie jacket, long blonde hair, natural makeup, light pink glossy lips, full curled eyelashes, soft eyeliner on upper eyelids, neutral facial expression with mouth closed, face blurred out, fair skin, holding a mobile phone with a decorative case, background includes clothing and shoes in a room or dressing area, realistic lighting and shadows,,
Ultra-detailed, hyper-realistic skin quality is the focus, with high-resolution textures and lighting capturing every nuance, from skindentation to soft shadows. The lighting emphasizes her clear complexion, with a perfect balance of natural highlights and subtle shadows, giving the image depth and dimension. (7680x4320) res, detailed hair texture, detailed eyes texture, detailed skin pores, perfect hands, perfect nails, perfect fingers, perfect arms, perfect facial structure,
Photographed in RAW, professional studio quality, 8k resolution, featuring intricate details, soft contrasts, and photorealistic textures. The focus is on the highest quality and sharpness, with natural sunlight enhancing her beauty and creating a cinematic, timeless selfie look,
"Output
Performance Metrics
8.94s
Prediction Time
8.95s
Total Time
All Input Parameters
{
"model": "dev",
"width": 1440,
"height": 1440,
"prompt": "jaz, taking a selfie in front of a mirror, wearing a blue and white sports outfit with a cropped top and matching hoodie jacket, long blonde hair, natural makeup, light pink glossy lips, full curled eyelashes, soft eyeliner on upper eyelids, neutral facial expression with mouth closed, face blurred out, fair skin, holding a mobile phone with a decorative case, background includes clothing and shoes in a room or dressing area, realistic lighting and shadows,,\n\nUltra-detailed, hyper-realistic skin quality is the focus, with high-resolution textures and lighting capturing every nuance, from skindentation to soft shadows. The lighting emphasizes her clear complexion, with a perfect balance of natural highlights and subtle shadows, giving the image depth and dimension. (7680x4320) res, detailed hair texture, detailed eyes texture, detailed skin pores, perfect hands, perfect nails, perfect fingers, perfect arms, perfect facial structure,\n\nPhotographed in RAW, professional studio quality, 8k resolution, featuring intricate details, soft contrasts, and photorealistic textures. The focus is on the highest quality and sharpness, with natural sunlight enhancing her beauty and creating a cinematic, timeless selfie look,",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 1.4,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 40
}
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
Lora https://replicate.delivery/xezq/OSCWeqHgGdQeukt8md7PlxLM6yiP8f2vkbGUmbBsvppPZY1nA/trained_model.tar already loaded Using seed: 56430 0it [00:00, ?it/s] 1it [00:00, 8.34it/s] 2it [00:00, 5.83it/s] 3it [00:00, 5.31it/s] 4it [00:00, 5.10it/s] 5it [00:00, 4.97it/s] 6it [00:01, 4.89it/s] 7it [00:01, 4.85it/s] 8it [00:01, 4.83it/s] 9it [00:01, 4.82it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.78it/s] 12it [00:02, 4.78it/s] 13it [00:02, 4.79it/s] 14it [00:02, 4.79it/s] 15it [00:03, 4.77it/s] 16it [00:03, 4.76it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.78it/s] 19it [00:03, 4.77it/s] 20it [00:04, 4.76it/s] 21it [00:04, 4.75it/s] 22it [00:04, 4.76it/s] 23it [00:04, 4.77it/s] 24it [00:04, 4.76it/s] 25it [00:05, 4.77it/s] 26it [00:05, 4.76it/s] 27it [00:05, 4.76it/s] 28it [00:05, 4.77it/s] 29it [00:05, 4.77it/s] 30it [00:06, 4.76it/s] 31it [00:06, 4.76it/s] 32it [00:06, 4.76it/s] 33it [00:06, 4.76it/s] 34it [00:07, 4.76it/s] 35it [00:07, 4.76it/s] 36it [00:07, 4.76it/s] 37it [00:07, 4.75it/s] 38it [00:07, 4.75it/s] 39it [00:08, 4.76it/s] 40it [00:08, 4.77it/s] 40it [00:08, 4.82it/s] Total safe images: 1 out of 1
Version Details
- Version ID
61f4b5c5262fd62870f8fe5c3b29869639e21e2cfc8ea0868999805640d3665b- Version Created
- December 14, 2024