kaseylee20247263/tokk 🖼️🔢❓📝✓ → 🖼️
About

Example Output
Prompt:
"a raw photo realistic ,high quality photo of tokk photo taken cannon ,black hair natural look,a plus size woman,mid 30's wearing a simi transparent tank top , adjusting her top, smiling, pulling top,tan lines,small saggy breasts,(best quality,4k,8k,highres,masterpiece:,ultra-detailed,(realistic,photorealistic,photo-realistic:HDR,UHD,studio lighting,,sharp focus,physically-based rendering,extreme detail description,professional,vivid colors,,photographic,bedroom on a bed ,on a couch ,,curvy figure,voluptuous,self-confident,empowering,body positive"
Output



Performance Metrics
28.59s
Prediction Time
28.68s
Total Time
All Input Parameters
{ "model": "dev", "prompt": "a raw photo realistic ,high quality photo of tokk photo taken cannon ,black hair natural look,a plus size woman,mid 30's wearing a simi transparent tank top , adjusting her top, smiling, pulling top,tan lines,small saggy breasts,(best quality,4k,8k,highres,masterpiece:,ultra-detailed,(realistic,photorealistic,photo-realistic:HDR,UHD,studio lighting,,sharp focus,physically-based rendering,extreme detail description,professional,vivid colors,,photographic,bedroom on a bed ,on a couch ,,curvy figure,voluptuous,self-confident,empowering,body positive", "lora_scale": 1, "num_outputs": 3, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 2.01, "output_quality": 100, "prompt_strength": 0.58, "extra_lora_scale": 1, "num_inference_steps": 27 }
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: 56542 Prompt: a raw photo realistic ,high quality photo of tokk photo taken cannon ,black hair natural look,a plus size woman,mid 30's wearing a simi transparent tank top , adjusting her top, smiling, pulling top,tan lines,small saggy breasts,(best quality,4k,8k,highres,masterpiece:,ultra-detailed,(realistic,photorealistic,photo-realistic:HDR,UHD,studio lighting,,sharp focus,physically-based rendering,extreme detail description,professional,vivid colors,,photographic,bedroom on a bed ,on a couch ,,curvy figure,voluptuous,self-confident,empowering,body positive [!] txt2img mode Using dev model free=28983750369280 Downloading weights 2024-11-25T08:17:01Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpm90dr_28/weights url=https://replicate.delivery/yhqm/vNsuanGfTZ1oMqiK7qKYzXIATGIdUZlmgfQzLmWZDihMqniTA/trained_model.tar 2024-11-25T08:17:02Z | INFO | [ Complete ] dest=/tmp/tmpm90dr_28/weights size="172 MB" total_elapsed=1.889s url=https://replicate.delivery/yhqm/vNsuanGfTZ1oMqiK7qKYzXIATGIdUZlmgfQzLmWZDihMqniTA/trained_model.tar Downloaded weights in 1.91s Loaded LoRAs in 2.52s 0%| | 0/27 [00:00<?, ?it/s] 4%|▎ | 1/27 [00:00<00:23, 1.10it/s] 7%|▋ | 2/27 [00:01<00:20, 1.23it/s] 11%|█ | 3/27 [00:02<00:20, 1.17it/s] 15%|█▍ | 4/27 [00:03<00:20, 1.14it/s] 19%|█▊ | 5/27 [00:04<00:19, 1.13it/s] 22%|██▏ | 6/27 [00:05<00:18, 1.12it/s] 26%|██▌ | 7/27 [00:06<00:17, 1.11it/s] 30%|██▉ | 8/27 [00:07<00:17, 1.11it/s] 33%|███▎ | 9/27 [00:08<00:16, 1.11it/s] 37%|███▋ | 10/27 [00:08<00:15, 1.10it/s] 41%|████ | 11/27 [00:09<00:14, 1.10it/s] 44%|████▍ | 12/27 [00:10<00:13, 1.10it/s] 48%|████▊ | 13/27 [00:11<00:12, 1.10it/s] 52%|█████▏ | 14/27 [00:12<00:11, 1.10it/s] 56%|█████▌ | 15/27 [00:13<00:10, 1.10it/s] 59%|█████▉ | 16/27 [00:14<00:09, 1.10it/s] 63%|██████▎ | 17/27 [00:15<00:09, 1.10it/s] 67%|██████▋ | 18/27 [00:16<00:08, 1.10it/s] 70%|███████ | 19/27 [00:17<00:07, 1.10it/s] 74%|███████▍ | 20/27 [00:18<00:06, 1.10it/s] 78%|███████▊ | 21/27 [00:18<00:05, 1.10it/s] 81%|████████▏ | 22/27 [00:19<00:04, 1.10it/s] 85%|████████▌ | 23/27 [00:20<00:03, 1.10it/s] 89%|████████▉ | 24/27 [00:21<00:02, 1.10it/s] 93%|█████████▎| 25/27 [00:22<00:01, 1.10it/s] 96%|█████████▋| 26/27 [00:23<00:00, 1.10it/s] 100%|██████████| 27/27 [00:24<00:00, 1.10it/s] 100%|██████████| 27/27 [00:24<00:00, 1.11it/s]
Version Details
- Version ID
6b89ff89ef18145219aab3d1a99970644c5ed4225cfbb48d7d5c6b797e652960
- Version Created
- October 2, 2024