FLUX 1.1 Pro Ultra - Finetuner (Trainer)

This is the training model for creating custom finetunes compatible with both the FLUX 1.1 [pro] Ultra and FLUX.1 [pro] architectures. Use this model to teach FLUX new concepts, styles, or subjects based on your own images. The training process generates a unique finetune_id representing your custom model.

How it Works

1. Prepare Your Data: Gather a set of images (typically 5-20) that clearly represent the concept, style, or subject you want the model to learn. Ensure images are well-lit and focused on the subject.
2. Upload Data: Upload your images as a .zip or .tar.gz archive to the input_images field.
3. Define Your Concept (Optional but Recommended): Use the caption_prefix input to provide a unique identifier or trigger word for your concept (e.g., “a photo of sks style”). This helps during inference.
4. Start Training: Run the model. The training process will analyze your images and create a specialized finetune.
5. Get Your Finetune ID: Upon successful completion, the output will be your unique finetune_id. Keep this ID safe!

Using Your Finetune for Inference

Once you have your finetune_id, you can use it to generate images with your custom style or concept using the corresponding inference model:

• black-forest-labs/flux-1.1-pro-ultra-finetuned
• black-forest-labs/flux-pro-finetuned

On the inference page, give your finetune_id along with your text prompt. You can also adjust the finetune_strength to control how strongly your custom concept influences the generated image.

License

By using the trainer through Replicate you agree to the Black Forest Labs API agreement and the Black Forest Labs Terms of Service.