phoenixsampras/geraldine 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"A hyper-realistic portrait of GERALDINEAI, a highly skilled female doctor, wearing a stunning, form-fitting red dress. She stands confidently with the Eiffel Tower visible in the background, symbolizing grace and professionalism. Her long hair cascades over her shoulders, perfectly styled, and her expression is calm yet powerful, exuding both intelligence and elegance. The red dress contrasts beautifully with the Parisian skyline. Soft, natural lighting accentuates the rich texture of her dress and the fine details of her face, from the subtle shine of her lipstick to the reflections in her eyes. The mood is sophisticated and striking, with incredible attention to detail, photorealistic, hd quality "
Output
Performance Metrics
10.15s
Prediction Time
31.56s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/Ln4ejYtnSlm7ko9KplV5ZtWUnpg9P2QdKd0kKO0OQMOnGoDe/France_Tori_Black_Brown_haired_Dress_Red_Model_576043_790x1024.jpg",
"model": "dev",
"height": 1440,
"prompt": "A hyper-realistic portrait of GERALDINEAI, a highly skilled female doctor, wearing a stunning, form-fitting red dress. She stands confidently with the Eiffel Tower visible in the background, symbolizing grace and professionalism. Her long hair cascades over her shoulders, perfectly styled, and her expression is calm yet powerful, exuding both intelligence and elegance. The red dress contrasts beautifully with the Parisian skyline. Soft, natural lighting accentuates the rich texture of her dress and the fine details of her face, from the subtle shine of her lipstick to the reflections in her eyes. The mood is sophisticated and striking, with incredible attention to detail, photorealistic, hd quality ",
"lora_scale": 1,
"num_outputs": 1,
"aspect_ratio": "9:16",
"output_format": "jpg",
"guidance_scale": 3.5,
"output_quality": 100,
"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: 50552 Prompt: A hyper-realistic portrait of GERALDINEAI, a highly skilled female doctor, wearing a stunning, form-fitting red dress. She stands confidently with the Eiffel Tower visible in the background, symbolizing grace and professionalism. Her long hair cascades over her shoulders, perfectly styled, and her expression is calm yet powerful, exuding both intelligence and elegance. The red dress contrasts beautifully with the Parisian skyline. Soft, natural lighting accentuates the rich texture of her dress and the fine details of her face, from the subtle shine of her lipstick to the reflections in her eyes. The mood is sophisticated and striking, with incredible attention to detail, photorealistic, hd quality [!] Resizing input image from 790x1024 to 800x1024 [!] img2img mode [!] Using dev model for img2img Using dev model free=6863470493696 Downloading weights 2024-10-14T00:25:28Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpm_c6ji4x/weights url=https://replicate.delivery/yhqm/eONw6nofzwvJsk7yCRGLXccZoeke5SYux5d9IIT3dmxarCaOB/trained_model.tar 2024-10-14T00:25:31Z | INFO | [ Complete ] dest=/tmp/tmpm_c6ji4x/weights size="172 MB" total_elapsed=2.448s url=https://replicate.delivery/yhqm/eONw6nofzwvJsk7yCRGLXccZoeke5SYux5d9IIT3dmxarCaOB/trained_model.tar Downloaded weights in 2.54s Loaded LoRAs in 3.26s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:05, 4.33it/s] 9%|▊ | 2/23 [00:00<00:05, 3.85it/s] 13%|█▎ | 3/23 [00:00<00:05, 3.72it/s] 17%|█▋ | 4/23 [00:01<00:05, 3.67it/s] 22%|██▏ | 5/23 [00:01<00:04, 3.63it/s] 26%|██▌ | 6/23 [00:01<00:04, 3.61it/s] 30%|███ | 7/23 [00:01<00:04, 3.60it/s] 35%|███▍ | 8/23 [00:02<00:04, 3.60it/s] 39%|███▉ | 9/23 [00:02<00:03, 3.59it/s] 43%|████▎ | 10/23 [00:02<00:03, 3.59it/s] 48%|████▊ | 11/23 [00:03<00:03, 3.58it/s] 52%|█████▏ | 12/23 [00:03<00:03, 3.58it/s] 57%|█████▋ | 13/23 [00:03<00:02, 3.58it/s] 61%|██████ | 14/23 [00:03<00:02, 3.58it/s] 65%|██████▌ | 15/23 [00:04<00:02, 3.58it/s] 70%|██████▉ | 16/23 [00:04<00:01, 3.58it/s] 74%|███████▍ | 17/23 [00:04<00:01, 3.58it/s] 78%|███████▊ | 18/23 [00:04<00:01, 3.58it/s] 83%|████████▎ | 19/23 [00:05<00:01, 3.58it/s] 87%|████████▋ | 20/23 [00:05<00:00, 3.58it/s] 91%|█████████▏| 21/23 [00:05<00:00, 3.58it/s] 96%|█████████▌| 22/23 [00:06<00:00, 3.58it/s] 100%|██████████| 23/23 [00:06<00:00, 3.58it/s] 100%|██████████| 23/23 [00:06<00:00, 3.61it/s]
Version Details
- Version ID
32773f358fe2650109609d381705d2d54309348a2428f1d0504810dd7d105d5b- Version Created
- October 13, 2024