dchanel39/karynn πΌοΈπ’βπβ β πΌοΈ
About
Example Output
"
Karynn A professional Black woman named Karynn is on stage at a conference, seated on a high stool in the style of Myron Golden presentations. She is confidently facing her audience while holding a marker in her right hand. Next to her is a large presentation board or flip chart for writing notes or frameworks.
She is wearing a grey structured blazer layered over a pale yellow collared shirt, paired with tailored grey slacks and brown womenβs loafers. Her hair is blonde, shaved on the sides and back, with curly volume at the top, styled neatly. She wears statement earrings in pale yellow and grey, complementing her outfit.
The setting is a conference or seminar environment with a clean, minimal stage and professional lighting. The mood is educational, empowering, and stylishβshowcasing her as a confident speaker and strategic thinker.
"Output
Performance Metrics
All Input Parameters
{
"model": "dev",
"prompt": "Karynn A professional Black woman named Karynn is on stage at a conference, seated on a high stool in the style of Myron Golden presentations. She is confidently facing her audience while holding a marker in her right hand. Next to her is a large presentation board or flip chart for writing notes or frameworks.\n\nShe is wearing a grey structured blazer layered over a pale yellow collared shirt, paired with tailored grey slacks and brown womenβs loafers. Her hair is blonde, shaved on the sides and back, with curly volume at the top, styled neatly. She wears statement earrings in pale yellow and grey, complementing her outfit.\n\nThe setting is a conference or seminar environment with a clean, minimal stage and professional lighting. The mood is educational, empowering, and stylishβshowcasing her as a confident speaker and strategic thinker.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3,
"output_quality": 80,
"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
free=26519991451648 Downloading weights 2025-04-03T15:34:17Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmphjzfhqpr/weights url=https://replicate.delivery/xezq/VJXSDoy9au7mEpe2P0gMorTLiVdm4Lvm6rMAWqeJpCtozlaUA/trained_model.tar 2025-04-03T15:34:19Z | INFO | [ Complete ] dest=/tmp/tmphjzfhqpr/weights size="172 MB" total_elapsed=1.657s url=https://replicate.delivery/xezq/VJXSDoy9au7mEpe2P0gMorTLiVdm4Lvm6rMAWqeJpCtozlaUA/trained_model.tar Downloaded weights in 1.68s Loaded LoRAs in 2.25s Using seed: 7921 Prompt: Karynn A professional Black woman named Karynn is on stage at a conference, seated on a high stool in the style of Myron Golden presentations. She is confidently facing her audience while holding a marker in her right hand. Next to her is a large presentation board or flip chart for writing notes or frameworks. She is wearing a grey structured blazer layered over a pale yellow collared shirt, paired with tailored grey slacks and brown womenβs loafers. Her hair is blonde, shaved on the sides and back, with curly volume at the top, styled neatly. She wears statement earrings in pale yellow and grey, complementing her outfit. The setting is a conference or seminar environment with a clean, minimal stage and professional lighting. The mood is educational, empowering, and stylishβshowcasing her as a confident speaker and strategic thinker. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|β | 1/28 [00:00<00:07, 3.79it/s] 7%|β | 2/28 [00:00<00:06, 4.30it/s] 11%|β | 3/28 [00:00<00:06, 4.06it/s] 14%|ββ | 4/28 [00:01<00:06, 3.95it/s] 18%|ββ | 5/28 [00:01<00:05, 3.90it/s] 21%|βββ | 6/28 [00:01<00:05, 3.86it/s] 25%|βββ | 7/28 [00:01<00:05, 3.84it/s] 29%|βββ | 8/28 [00:02<00:05, 3.83it/s] 32%|ββββ | 9/28 [00:02<00:04, 3.82it/s] 36%|ββββ | 10/28 [00:02<00:04, 3.81it/s] 39%|ββββ | 11/28 [00:02<00:04, 3.81it/s] 43%|βββββ | 12/28 [00:03<00:04, 3.81it/s] 46%|βββββ | 13/28 [00:03<00:03, 3.80it/s] 50%|βββββ | 14/28 [00:03<00:03, 3.80it/s] 54%|ββββββ | 15/28 [00:03<00:03, 3.80it/s] 57%|ββββββ | 16/28 [00:04<00:03, 3.80it/s] 61%|ββββββ | 17/28 [00:04<00:02, 3.80it/s] 64%|βββββββ | 18/28 [00:04<00:02, 3.79it/s] 68%|βββββββ | 19/28 [00:04<00:02, 3.80it/s] 71%|ββββββββ | 20/28 [00:05<00:02, 3.80it/s] 75%|ββββββββ | 21/28 [00:05<00:01, 3.80it/s] 79%|ββββββββ | 22/28 [00:05<00:01, 3.80it/s] 82%|βββββββββ | 23/28 [00:06<00:01, 3.80it/s] 86%|βββββββββ | 24/28 [00:06<00:01, 3.80it/s] 89%|βββββββββ | 25/28 [00:06<00:00, 3.80it/s] 93%|ββββββββββ| 26/28 [00:06<00:00, 3.80it/s] 96%|ββββββββββ| 27/28 [00:07<00:00, 3.80it/s] 100%|ββββββββββ| 28/28 [00:07<00:00, 3.80it/s] 100%|ββββββββββ| 28/28 [00:07<00:00, 3.83it/s] Total safe images: 1 out of 1
Version Details
- Version ID
2de131c0b82efe3ec53c83b96186ebef5b025204e78f9c88ca4e43c10ba0fd0f- Version Created
- March 20, 2025