patablanca/casualsocks 🖼️🔢❓📝✓ → 🖼️
Performance
8.2sTypical run time
342Total runs
About
Generate Casual Socks for your Theme
Example Output
Prompt:
"
A high-quality, studio-style product image showcasing a single casual sock standing upright, with the toe pointing left and the heel facing right. The sock is placed on a lightly reflective surface and is in sharp focus, revealing detailed knit texture and natural folds. Lighting is soft and professional, ensuring accurate color representation. The sock doesn't have any text or logo on it. The background is softly blurred to maintain focus on the sock. Made from sustainable recycled cotton, the sock features reinforced heel and toe zones, appearing breathable and soft with visible knitting for a tactile, realistic feel.
The sock design incorporates classic hockey-themed colors: navy blue (#002D62) as the primary color and bright orange (#FF6F00) as the accent. The body of the sock is navy blue and features a pattern of small, evenly spaced crossed hockey sticks in bright orange. The heel, toe, and cuff areas are solid orange, creating a vibrant and sporty contrast.
The background is softly blurred, showing a field hockey pitch with players in motion and the goal area faintly visible, enhancing the athletic and action-driven theme of the sport.
"Output
Performance Metrics
8.17s
Prediction Time
8.58s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A high-quality, studio-style product image showcasing a single casual sock standing upright, with the toe pointing left and the heel facing right. The sock is placed on a lightly reflective surface and is in sharp focus, revealing detailed knit texture and natural folds. Lighting is soft and professional, ensuring accurate color representation. The sock doesn't have any text or logo on it. The background is softly blurred to maintain focus on the sock. Made from sustainable recycled cotton, the sock features reinforced heel and toe zones, appearing breathable and soft with visible knitting for a tactile, realistic feel.\n\nThe sock design incorporates classic hockey-themed colors: navy blue (#002D62) as the primary color and bright orange (#FF6F00) as the accent. The body of the sock is navy blue and features a pattern of small, evenly spaced crossed hockey sticks in bright orange. The heel, toe, and cuff areas are solid orange, creating a vibrant and sporty contrast.\n\nThe background is softly blurred, showing a field hockey pitch with players in motion and the goal area faintly visible, enhancing the athletic and action-driven theme of the sport.",
"go_fast": false,
"lora_scale": 0.74,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 2.52,
"output_quality": 80,
"prompt_strength": 0.94,
"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
Loaded LoRAs in 0.56s Using seed: 16280 Prompt: A high-quality, studio-style product image showcasing a single casual sock standing upright, with the toe pointing left and the heel facing right. The sock is placed on a lightly reflective surface and is in sharp focus, revealing detailed knit texture and natural folds. Lighting is soft and professional, ensuring accurate color representation. The sock doesn't have any text or logo on it. The background is softly blurred to maintain focus on the sock. Made from sustainable recycled cotton, the sock features reinforced heel and toe zones, appearing breathable and soft with visible knitting for a tactile, realistic feel. The sock design incorporates classic hockey-themed colors: navy blue (#002D62) as the primary color and bright orange (#FF6F00) as the accent. The body of the sock is navy blue and features a pattern of small, evenly spaced crossed hockey sticks in bright orange. The heel, toe, and cuff areas are solid orange, creating a vibrant and sporty contrast. The background is softly blurred, showing a field hockey pitch with players in motion and the goal area faintly visible, enhancing the athletic and action-driven theme of the sport. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.70it/s] 7%|▋ | 2/28 [00:00<00:06, 4.10it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.89it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.84it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.82it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.81it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.81it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.81it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.80it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.80it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.80it/s] 50%|█████ | 14/28 [00:03<00:03, 3.80it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.80it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.80it/s] 61%|██████ | 17/28 [00:04<00:02, 3.80it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.80it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.80it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.80it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.81it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.80it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.80it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.80it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.81it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.80it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.80it/s] 100%|██████████| 28/28 [00:07<00:00, 3.81it/s] 100%|██████████| 28/28 [00:07<00:00, 3.82it/s] Total safe images: 1 out of 1
Version Details
- Version ID
17b3d0a4c058be6b44d63be70b6d6e08e08980fdcd5bedfcf2f7c455d8469b78- Version Created
- March 21, 2025