getgems/chat_68741648 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"TOK business woman on laptop black white professional photo grain"
Output
Performance Metrics
3.23s
Prediction Time
3.32s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "TOK business woman on laptop black white professional photo grain",
"go_fast": true,
"lora_scale": 1.5,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "9:16",
"output_format": "jpg",
"guidance_scale": 3,
"output_quality": 80,
"prompt_strength": 0.41,
"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
2025-06-05 08:07:03.174 | INFO | fp8.lora_loading:restore_base_weights:600 - Unloaded 304 layers 2025-06-05 08:07:03.176 | SUCCESS | fp8.lora_loading:unload_loras:571 - LoRAs unloaded in 0.026s 2025-06-05 08:07:03.177 | INFO | fp8.lora_loading:convert_lora_weights:502 - Loading LoRA weights for /src/weights-cache/367e0505abf80ce5 2025-06-05 08:07:03.255 | INFO | fp8.lora_loading:convert_lora_weights:523 - LoRA weights loaded 2025-06-05 08:07:03.256 | DEBUG | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:610 - Extracting keys 2025-06-05 08:07:03.256 | DEBUG | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:617 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 43%|████▎ | 132/304 [00:00<00:00, 1311.85it/s] Applying LoRA: 87%|████████▋ | 264/304 [00:00<00:00, 1056.98it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 1066.04it/s] 2025-06-05 08:07:03.541 | INFO | fp8.lora_loading:apply_lora_to_model_and_optionally_store_clones:669 - Loading LoRA in fp8 2025-06-05 08:07:03.542 | SUCCESS | fp8.lora_loading:load_lora:547 - LoRA applied in 0.36s running quantized prediction Using seed: 556268087 0%| | 0/28 [00:00<?, ?it/s] 11%|█ | 3/28 [00:00<00:01, 15.84it/s] 18%|█▊ | 5/28 [00:00<00:01, 12.90it/s] 25%|██▌ | 7/28 [00:00<00:01, 11.92it/s] 32%|███▏ | 9/28 [00:00<00:01, 11.46it/s] 39%|███▉ | 11/28 [00:00<00:01, 10.87it/s] 46%|████▋ | 13/28 [00:01<00:01, 10.76it/s] 54%|█████▎ | 15/28 [00:01<00:01, 10.73it/s] 61%|██████ | 17/28 [00:01<00:01, 10.73it/s] 68%|██████▊ | 19/28 [00:01<00:00, 10.72it/s] 75%|███████▌ | 21/28 [00:01<00:00, 10.56it/s] 82%|████████▏ | 23/28 [00:02<00:00, 10.55it/s] 89%|████████▉ | 25/28 [00:02<00:00, 10.58it/s] 96%|█████████▋| 27/28 [00:02<00:00, 10.63it/s] 100%|██████████| 28/28 [00:02<00:00, 10.97it/s] Total safe images: 1 out of 1
Version Details
- Version ID
0fb7d9af17d70dc489a25302692c482b027ffbcbda213bb38645dcedd349549f- Version Created
- September 2, 2025