black-forest-labs/flux-pro-finetuned 🔢📝❓🖼️✓ → 🖼️
About
Inference model for FLUX.1 [pro] using custom `finetune_id`
Example Output
Prompt:
"A formula one CYBERCAB car"
Output
Performance Metrics
15.44s
Prediction Time
15.46s
Total Time
1
Images
All Input Parameters
{
"steps": 40,
"prompt": "A formula one CYBERCAB car",
"guidance": 3,
"finetune_id": "fc14d7bf-95bd-4dde-92c1-2dd7317721f6",
"aspect_ratio": "3:2",
"output_format": "jpg",
"safety_tolerance": 2,
"finetune_strength": 1,
"prompt_upsampling": false
}
Input Parameters
- seed
- Random seed. Set for reproducible generation
- steps
- Number of diffusion steps
- width
- Width of the generated image in text-to-image mode. Only used when aspect_ratio=custom. Must be a multiple of 32 (if it's not, it will be rounded to nearest multiple of 32). Note: Ignored in img2img and inpainting modes.
- height
- Height of the generated image in text-to-image mode. Only used when aspect_ratio=custom. Must be a multiple of 32 (if it's not, it will be rounded to nearest multiple of 32). Note: Ignored in img2img and inpainting modes.
- prompt (required)
- Text prompt for image generation
- guidance
- Controls the balance between adherence to the text prompt and image quality/diversity. Higher values make the output more closely match the prompt but may reduce overall image quality. Lower values allow for more creative freedom but might produce results less relevant to the prompt.
- finetune_id (required)
- Finetune ID for making images using a previously trained fine-tune. Only IDs from trainings made using Replicate's Flux Pro fine-tuning model are supported.
- aspect_ratio
- Aspect ratio for the generated image
- image_prompt
- Image to use with Flux Redux. This is used together with the text prompt to guide the generation towards the composition of the image_prompt. Must be jpeg, png, gif, or webp.
- output_format
- Format of the output images.
- safety_tolerance
- Safety tolerance, 1 is most strict and 6 is most permissive
- finetune_strength
- Controls finetune influence
- prompt_upsampling
- Automatically modify the prompt for more creative generation
Output Schema
Output
Example Execution Logs
Running prediction... ================ Training Details ================ Trigger Word: CYBERCAB Other Details: Learning Rate: 1e-05 Iterations: 100 LoRA Rank: 32 Mode: general Priority: quality Finetune Type: full Trained: 2025-01-17_13-48-43 ================================================== Using seed: 17313 Generating image... Generated image in 14.9sec Downloaded image in 0.32sec
Version Details
- Version ID
0515c6ddb21c9de66774a3b14be551de7030e4c1d06d5ca1c7f6038420647028- Version Created
- November 10, 2025