mklef80/darnell-williams 🖼️🔢❓📝✓ → 🖼️
About
Baskettball player Darnell Williams
Example Output
Prompt:
"American shot portrait of a professional basketball player, Darnell-Williams, 46 years old, African-American, 6'7" (2.01m) tall. He looks directly at the camera with a confident, determined, and friendly expression. He holds a basketball at arm's length in front of his chest, pointing towards the camera. He's wearing a black basketball uniform. The scene takes place in a studio with a white background. The lighting is dramatic, creating strong contrasts on his face and body. The image style is high-contrast and desaturated, emphasizing the interplay of light and shadow. The composition is centered on the player, capturing his imposing stature and professional attitude.""
Output
Performance Metrics
12.82s
Prediction Time
12.92s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "American shot portrait of a professional basketball player, Darnell-Williams, 46 years old, African-American, 6'7\" (2.01m) tall. He looks directly at the camera with a confident, determined, and friendly expression. He holds a basketball at arm's length in front of his chest, pointing towards the camera. He's wearing a black basketball uniform. The scene takes place in a studio with a white background. The lighting is dramatic, creating strong contrasts on his face and body. The image style is high-contrast and desaturated, emphasizing the interplay of light and shadow. The composition is centered on the player, capturing his imposing stature and professional attitude.\"",
"lora_scale": 1,
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 90,
"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: 60627 Prompt: American shot portrait of a professional basketball player, Darnell-Williams, 46 years old, African-American, 6'7" (2.01m) tall. He looks directly at the camera with a confident, determined, and friendly expression. He holds a basketball at arm's length in front of his chest, pointing towards the camera. He's wearing a black basketball uniform. The scene takes place in a studio with a white background. The lighting is dramatic, creating strong contrasts on his face and body. The image style is high-contrast and desaturated, emphasizing the interplay of light and shadow. The composition is centered on the player, capturing his imposing stature and professional attitude." [!] txt2img mode Using dev model free=6974657441792 Downloading weights 2024-10-22T18:01:15Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpcp_0az2l/weights url=https://replicate.delivery/yhqm/dslLdLR5z0q9It0PEWCxPn1Z8erGsT1tLe3nwoOEwyj5RZpTA/trained_model.tar 2024-10-22T18:01:17Z | INFO | [ Complete ] dest=/tmp/tmpcp_0az2l/weights size="258 MB" total_elapsed=2.125s url=https://replicate.delivery/yhqm/dslLdLR5z0q9It0PEWCxPn1Z8erGsT1tLe3nwoOEwyj5RZpTA/trained_model.tar Downloaded weights in 2.16s Loaded LoRAs in 2.88s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:09, 2.89it/s] 7%|▋ | 2/28 [00:00<00:08, 3.22it/s] 11%|█ | 3/28 [00:00<00:08, 3.07it/s] 14%|█▍ | 4/28 [00:01<00:08, 2.99it/s] 18%|█▊ | 5/28 [00:01<00:07, 2.96it/s] 21%|██▏ | 6/28 [00:02<00:07, 2.93it/s] 25%|██▌ | 7/28 [00:02<00:07, 2.92it/s] 29%|██▊ | 8/28 [00:02<00:06, 2.91it/s] 32%|███▏ | 9/28 [00:03<00:06, 2.91it/s] 36%|███▌ | 10/28 [00:03<00:06, 2.90it/s] 39%|███▉ | 11/28 [00:03<00:05, 2.90it/s] 43%|████▎ | 12/28 [00:04<00:05, 2.90it/s] 46%|████▋ | 13/28 [00:04<00:05, 2.90it/s] 50%|█████ | 14/28 [00:04<00:04, 2.89it/s] 54%|█████▎ | 15/28 [00:05<00:04, 2.89it/s] 57%|█████▋ | 16/28 [00:05<00:04, 2.89it/s] 61%|██████ | 17/28 [00:05<00:03, 2.89it/s] 64%|██████▍ | 18/28 [00:06<00:03, 2.89it/s] 68%|██████▊ | 19/28 [00:06<00:03, 2.89it/s] 71%|███████▏ | 20/28 [00:06<00:02, 2.90it/s] 75%|███████▌ | 21/28 [00:07<00:02, 2.90it/s] 79%|███████▊ | 22/28 [00:07<00:02, 2.90it/s] 82%|████████▏ | 23/28 [00:07<00:01, 2.90it/s] 86%|████████▌ | 24/28 [00:08<00:01, 2.90it/s] 89%|████████▉ | 25/28 [00:08<00:01, 2.90it/s] 93%|█████████▎| 26/28 [00:08<00:00, 2.90it/s] 96%|█████████▋| 27/28 [00:09<00:00, 2.90it/s] 100%|██████████| 28/28 [00:09<00:00, 2.90it/s] 100%|██████████| 28/28 [00:09<00:00, 2.91it/s]
Version Details
- Version ID
4d2cda9ee4a057c9f2cd032b350e59c5b2223ab42c4743bba6c06857eaffb0e9- Version Created
- October 30, 2024