oxanaon/oxana πΌοΈπ’βπβ β πΌοΈ
About
Example Output
Prompt:
"Oxana in a sleek black-on-black outfit: tailored blazer over a mesh top, slicked-back bun, bold eyeliner and matte nude lips. Sheβs in a dark podcast room with textured acoustic panels and a glowing ring light reflecting in her eyes. The photo captures her adjusting her headphones, intense gaze toward the mic. Behind her, warm tungsten lights create bokeh and atmosphere. The look is high-fashion, powerful, moody."
Output



Performance Metrics
47.44s
Prediction Time
47.90s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "Oxana in a sleek black-on-black outfit: tailored blazer over a mesh top, slicked-back bun, bold eyeliner and matte nude lips. Sheβs in a dark podcast room with textured acoustic panels and a glowing ring light reflecting in her eyes. The photo captures her adjusting her headphones, intense gaze toward the mic. Behind her, warm tungsten lights create bokeh and atmosphere. The look is high-fashion, powerful, moody.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "9:16",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 100,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 45
}
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=25774856249344 Downloading weights 2025-04-02T09:51:25Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpqtvqnn0i/weights url=https://replicate.delivery/xezq/kzfGH5GZIA18bSZF410dUzZYOGZK07IVIfhHHMu1aHdrmcdUA/trained_model.tar 2025-04-02T09:51:28Z | INFO | [ Complete ] dest=/tmp/tmpqtvqnn0i/weights size="172 MB" total_elapsed=3.032s url=https://replicate.delivery/xezq/kzfGH5GZIA18bSZF410dUzZYOGZK07IVIfhHHMu1aHdrmcdUA/trained_model.tar Downloaded weights in 3.05s Loaded LoRAs in 3.63s Using seed: 47223 Prompt: Oxana in a sleek black-on-black outfit: tailored blazer over a mesh top, slicked-back bun, bold eyeliner and matte nude lips. Sheβs in a dark podcast room with textured acoustic panels and a glowing ring light reflecting in her eyes. The photo captures her adjusting her headphones, intense gaze toward the mic. Behind her, warm tungsten lights create bokeh and atmosphere. The look is high-fashion, powerful, moody. [!] txt2img mode 0%| | 0/45 [00:00<?, ?it/s] 2%|β | 1/45 [00:00<00:42, 1.04it/s] 4%|β | 2/45 [00:01<00:36, 1.18it/s] 7%|β | 3/45 [00:02<00:37, 1.11it/s] 9%|β | 4/45 [00:03<00:37, 1.08it/s] 11%|β | 5/45 [00:04<00:37, 1.06it/s] 13%|ββ | 6/45 [00:05<00:36, 1.05it/s] 16%|ββ | 7/45 [00:06<00:36, 1.05it/s] 18%|ββ | 8/45 [00:07<00:35, 1.04it/s] 20%|ββ | 9/45 [00:08<00:34, 1.04it/s] 22%|βββ | 10/45 [00:09<00:33, 1.04it/s] 24%|βββ | 11/45 [00:10<00:32, 1.04it/s] 27%|βββ | 12/45 [00:11<00:31, 1.04it/s] 29%|βββ | 13/45 [00:12<00:30, 1.04it/s] 31%|βββ | 14/45 [00:13<00:29, 1.04it/s] 33%|ββββ | 15/45 [00:14<00:28, 1.04it/s] 36%|ββββ | 16/45 [00:15<00:27, 1.04it/s] 38%|ββββ | 17/45 [00:16<00:26, 1.04it/s] 40%|ββββ | 18/45 [00:17<00:25, 1.04it/s] 42%|βββββ | 19/45 [00:18<00:24, 1.04it/s] 44%|βββββ | 20/45 [00:19<00:23, 1.04it/s] 47%|βββββ | 21/45 [00:19<00:23, 1.04it/s] 49%|βββββ | 22/45 [00:20<00:22, 1.04it/s] 51%|βββββ | 23/45 [00:21<00:21, 1.04it/s] 53%|ββββββ | 24/45 [00:22<00:20, 1.04it/s] 56%|ββββββ | 25/45 [00:23<00:19, 1.04it/s] 58%|ββββββ | 26/45 [00:24<00:18, 1.04it/s] 60%|ββββββ | 27/45 [00:25<00:17, 1.04it/s] 62%|βββββββ | 28/45 [00:26<00:16, 1.04it/s] 64%|βββββββ | 29/45 [00:27<00:15, 1.04it/s] 67%|βββββββ | 30/45 [00:28<00:14, 1.04it/s] 69%|βββββββ | 31/45 [00:29<00:13, 1.04it/s] 71%|βββββββ | 32/45 [00:30<00:12, 1.04it/s] 73%|ββββββββ | 33/45 [00:31<00:11, 1.04it/s] 76%|ββββββββ | 34/45 [00:32<00:10, 1.04it/s] 78%|ββββββββ | 35/45 [00:33<00:09, 1.04it/s] 80%|ββββββββ | 36/45 [00:34<00:08, 1.04it/s] 82%|βββββββββ | 37/45 [00:35<00:07, 1.04it/s] 84%|βββββββββ | 38/45 [00:36<00:06, 1.04it/s] 87%|βββββββββ | 39/45 [00:37<00:05, 1.04it/s] 89%|βββββββββ | 40/45 [00:38<00:04, 1.04it/s] 91%|βββββββββ | 41/45 [00:39<00:03, 1.04it/s] 93%|ββββββββββ| 42/45 [00:40<00:02, 1.04it/s] 96%|ββββββββββ| 43/45 [00:41<00:01, 1.04it/s] 98%|ββββββββββ| 44/45 [00:42<00:00, 1.04it/s] 100%|ββββββββββ| 45/45 [00:43<00:00, 1.04it/s] 100%|ββββββββββ| 45/45 [00:43<00:00, 1.05it/s] Total safe images: 4 out of 4
Version Details
- Version ID
d97db314c187ee62aaf28672bbacb4603e4c0b7212bd0a759c5a82ad4029b62a- Version Created
- March 29, 2025