asiryan/flux-schnell 🔢🖼️📝❓ → 🖼️
About
FLUX Schnell Model (Text2Img and Img2Img)
Example Output
Prompt:
"black forest gateau cake spelling out the words "FLUX SCHNELL", tasty, food photography, dynamic shot"
Output
Performance Metrics
2.70s
Prediction Time
2.71s
Total Time
All Input Parameters
{
"width": 1024,
"height": 1024,
"prompt": "black forest gateau cake spelling out the words \"FLUX SCHNELL\", tasty, food photography, dynamic shot",
"num_outputs": 1,
"output_format": "png",
"output_quality": 100,
"prompt_strength": 0.8,
"num_inference_steps": 4
}
Input Parameters
- seed
- Random seed. Set for reproducible generation
- image
- Input image for image to image mode. The aspect ratio of your output will match this image
- width
- Width of output image
- height
- Height of output image
- prompt
- Prompt for generated image
- strength
- Prompt strength (or denoising strength) when using image to image. 1.0 corresponds to full destruction of information in image.
- num_outputs
- Number of images to output.
- output_format
- Format of the output images
- 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
- num_inference_steps
- Number of inference steps
Output Schema
Output
Example Execution Logs
Using seed: 11426 Prompt: black forest gateau cake spelling out the words "FLUX SCHNELL", tasty, food photography, dynamic shot txt2img mode 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.18it/s] 50%|█████ | 2/4 [00:00<00:00, 2.73it/s] 75%|███████▌ | 3/4 [00:01<00:00, 2.45it/s] 100%|██████████| 4/4 [00:01<00:00, 2.34it/s] 100%|██████████| 4/4 [00:01<00:00, 2.38it/s]
Version Details
- Version ID
54a0e1e1841cbb8c4ef226bd5e197798bef44acd0f63ed38338bda222205a7b0- Version Created
- January 20, 2025