mayoita/oyadi 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"A stunning, high-fashion photograph of Oyadi, a striking model with dark, curly hair, posed front-on, gazing directly at the camera with a confident expression, her features softly lit by a warm, golden key light positioned 45 degrees to her left, with a subtle fill light to the right, creating a sense of depth and dimension, evoking the visual style of iconic fashion photographer Annie Leibovitz, with a shallow depth of field (f/1.4) blurring the background, emphasizing Oyadi's elegant features, shot on Kodak Portra film stock, with a warm, analog color palette and subtle film grain."
Output
Performance Metrics
16.60s
Prediction Time
16.89s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A stunning, high-fashion photograph of Oyadi, a striking model with dark, curly hair, posed front-on, gazing directly at the camera with a confident expression, her features softly lit by a warm, golden key light positioned 45 degrees to her left, with a subtle fill light to the right, creating a sense of depth and dimension, evoking the visual style of iconic fashion photographer Annie Leibovitz, with a shallow depth of field (f/1.4) blurring the background, emphasizing Oyadi's elegant features, shot on Kodak Portra film stock, with a warm, analog color palette and subtle film grain.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 2.41,
"output_quality": 80,
"prompt_strength": 0.44,
"extra_lora_scale": 1,
"num_inference_steps": 47
}
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=27559668039680 Downloading weights 2025-05-27T06:22:35Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpfz1_k9m5/weights url=https://replicate.delivery/xezq/C038WVD3k66uPFRqBfkARu7vjMMjZmSIc81J4vBAjLpf0dwUA/trained_model.tar 2025-05-27T06:22:35Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-27T06:22:38Z | INFO | [ Complete ] dest=/tmp/tmpfz1_k9m5/weights size="344 MB" total_elapsed=3.183s url=https://replicate.delivery/xezq/C038WVD3k66uPFRqBfkARu7vjMMjZmSIc81J4vBAjLpf0dwUA/trained_model.tar Downloaded weights in 3.21s Loaded LoRAs in 3.81s Using seed: 4519 Prompt: A stunning, high-fashion photograph of Oyadi, a striking model with dark, curly hair, posed front-on, gazing directly at the camera with a confident expression, her features softly lit by a warm, golden key light positioned 45 degrees to her left, with a subtle fill light to the right, creating a sense of depth and dimension, evoking the visual style of iconic fashion photographer Annie Leibovitz, with a shallow depth of field (f/1.4) blurring the background, emphasizing Oyadi's elegant features, shot on Kodak Portra film stock, with a warm, analog color palette and subtle film grain. [!] txt2img mode 0%| | 0/47 [00:00<?, ?it/s] 2%|▏ | 1/47 [00:00<00:12, 3.83it/s] 4%|▍ | 2/47 [00:00<00:10, 4.34it/s] 6%|▋ | 3/47 [00:00<00:10, 4.09it/s] 9%|▊ | 4/47 [00:00<00:10, 3.99it/s] 11%|█ | 5/47 [00:01<00:10, 3.93it/s] 13%|█▎ | 6/47 [00:01<00:10, 3.90it/s] 15%|█▍ | 7/47 [00:01<00:10, 3.88it/s] 17%|█▋ | 8/47 [00:02<00:10, 3.86it/s] 19%|█▉ | 9/47 [00:02<00:09, 3.86it/s] 21%|██▏ | 10/47 [00:02<00:09, 3.85it/s] 23%|██▎ | 11/47 [00:02<00:09, 3.84it/s] 26%|██▌ | 12/47 [00:03<00:09, 3.84it/s] 28%|██▊ | 13/47 [00:03<00:08, 3.84it/s] 30%|██▉ | 14/47 [00:03<00:08, 3.84it/s] 32%|███▏ | 15/47 [00:03<00:08, 3.84it/s] 34%|███▍ | 16/47 [00:04<00:08, 3.83it/s] 36%|███▌ | 17/47 [00:04<00:07, 3.84it/s] 38%|███▊ | 18/47 [00:04<00:07, 3.83it/s] 40%|████ | 19/47 [00:04<00:07, 3.83it/s] 43%|████▎ | 20/47 [00:05<00:07, 3.83it/s] 45%|████▍ | 21/47 [00:05<00:06, 3.83it/s] 47%|████▋ | 22/47 [00:05<00:06, 3.84it/s] 49%|████▉ | 23/47 [00:05<00:06, 3.84it/s] 51%|█████ | 24/47 [00:06<00:05, 3.84it/s] 53%|█████▎ | 25/47 [00:06<00:05, 3.84it/s] 55%|█████▌ | 26/47 [00:06<00:05, 3.84it/s] 57%|█████▋ | 27/47 [00:06<00:05, 3.84it/s] 60%|█████▉ | 28/47 [00:07<00:04, 3.84it/s] 62%|██████▏ | 29/47 [00:07<00:04, 3.84it/s] 64%|██████▍ | 30/47 [00:07<00:04, 3.84it/s] 66%|██████▌ | 31/47 [00:08<00:04, 3.84it/s] 68%|██████▊ | 32/47 [00:08<00:03, 3.84it/s] 70%|███████ | 33/47 [00:08<00:03, 3.84it/s] 72%|███████▏ | 34/47 [00:08<00:03, 3.83it/s] 74%|███████▍ | 35/47 [00:09<00:03, 3.84it/s] 77%|███████▋ | 36/47 [00:09<00:02, 3.83it/s] 79%|███████▊ | 37/47 [00:09<00:02, 3.83it/s] 81%|████████ | 38/47 [00:09<00:02, 3.83it/s] 83%|████████▎ | 39/47 [00:10<00:02, 3.83it/s] 85%|████████▌ | 40/47 [00:10<00:01, 3.84it/s] 87%|████████▋ | 41/47 [00:10<00:01, 3.84it/s] 89%|████████▉ | 42/47 [00:10<00:01, 3.84it/s] 91%|█████████▏| 43/47 [00:11<00:01, 3.84it/s] 94%|█████████▎| 44/47 [00:11<00:00, 3.84it/s] 96%|█████████▌| 45/47 [00:11<00:00, 3.84it/s] 98%|█████████▊| 46/47 [00:11<00:00, 3.83it/s] 100%|██████████| 47/47 [00:12<00:00, 3.84it/s] 100%|██████████| 47/47 [00:12<00:00, 3.85it/s] Total safe images: 1 out of 1
Version Details
- Version ID
86f7c59375584c7db13b59375ca0472f571745036fb985e63722eea5643fcbc9- Version Created
- May 26, 2025