phillylovesdata/flux_lora 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"A powerful and emotional scene of PhillyAIraGeGaming standing confidently in front of a grand orchestra, passionately singing as the conductor and musicians follow his lead. He is illuminated by dramatic stage lighting, wearing a stylish performance outfit that exudes charisma and presence. The orchestra behind him consists of violinists, cellists, and brass players, all deeply engaged in their performance. The concert hall is majestic, with an elegant design, warm lighting, and an enthusiastic audience captivated by the performance. The atmosphere is filled with energy and emotion, as PhillyAIraGeGaming delivers a breathtaking vocal performance."
Output
Performance Metrics
9.99s
Prediction Time
22.81s
Total Time
All Input Parameters
{
"model": "dev",
"prompt": "A powerful and emotional scene of PhillyAIraGeGaming standing confidently in front of a grand orchestra, passionately singing as the conductor and musicians follow his lead. He is illuminated by dramatic stage lighting, wearing a stylish performance outfit that exudes charisma and presence. The orchestra behind him consists of violinists, cellists, and brass players, all deeply engaged in their performance. The concert hall is majestic, with an elegant design, warm lighting, and an enthusiastic audience captivated by the performance. The atmosphere is filled with energy and emotion, as PhillyAIraGeGaming delivers a breathtaking vocal performance.",
"go_fast": false,
"lora_scale": 1,
"megapixels": "1",
"num_outputs": 1,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"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=27288957194240 Downloading weights 2025-03-16T23:00:19Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9xb461ya/weights url=https://replicate.delivery/xezq/149gEetzo1Q3LieEC0WMuit0Vf5tRJtxfMyZOFJNRChPrBlRB/trained_model.tar 2025-03-16T23:00:21Z | INFO | [ Complete ] dest=/tmp/tmp9xb461ya/weights size="344 MB" total_elapsed=2.193s url=https://replicate.delivery/xezq/149gEetzo1Q3LieEC0WMuit0Vf5tRJtxfMyZOFJNRChPrBlRB/trained_model.tar Downloaded weights in 2.22s Loaded LoRAs in 2.82s Using seed: 40169 Prompt: A powerful and emotional scene of PhillyAIraGeGaming standing confidently in front of a grand orchestra, passionately singing as the conductor and musicians follow his lead. He is illuminated by dramatic stage lighting, wearing a stylish performance outfit that exudes charisma and presence. The orchestra behind him consists of violinists, cellists, and brass players, all deeply engaged in their performance. The concert hall is majestic, with an elegant design, warm lighting, and an enthusiastic audience captivated by the performance. The atmosphere is filled with energy and emotion, as PhillyAIraGeGaming delivers a breathtaking vocal performance. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.06it/s] 7%|▋ | 2/28 [00:00<00:05, 4.57it/s] 11%|█ | 3/28 [00:00<00:05, 4.31it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.21it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.16it/s] 21%|██▏ | 6/28 [00:01<00:05, 4.12it/s] 25%|██▌ | 7/28 [00:01<00:05, 4.09it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.07it/s] 32%|███▏ | 9/28 [00:02<00:04, 4.06it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.06it/s] 39%|███▉ | 11/28 [00:02<00:04, 4.05it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.04it/s] 46%|████▋ | 13/28 [00:03<00:03, 4.04it/s] 50%|█████ | 14/28 [00:03<00:03, 4.05it/s] 54%|█████▎ | 15/28 [00:03<00:03, 4.05it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.06it/s] 61%|██████ | 17/28 [00:04<00:02, 4.05it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.05it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.05it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.03it/s] 75%|███████▌ | 21/28 [00:05<00:01, 4.04it/s] 79%|███████▊ | 22/28 [00:05<00:01, 4.04it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.04it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.04it/s] 89%|████████▉ | 25/28 [00:06<00:00, 4.03it/s] 93%|█████████▎| 26/28 [00:06<00:00, 4.03it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.03it/s] 100%|██████████| 28/28 [00:06<00:00, 4.03it/s] 100%|██████████| 28/28 [00:06<00:00, 4.07it/s] Total safe images: 1 out of 1
Version Details
- Version ID
94554c32bbd7323f44da46e2ea6e91af2d07a5a2f798974b76da4d1c49201836- Version Created
- March 16, 2025