wavespeed-ai/flux-dev-fill
FLUX.1 [dev] Fill is a high-performance endpoint for the FLUX.1 [dev] model that enables rapid transformation of existing images, delivering high-quality style transfers and image modifications with the core FLUX capabilities.
image-to-image
Idle
Your request will cost $0.035 per image,
For $1 you can run this model approximately 28 times.
README
FLUX.1 Fill [dev] is a 12-billion-parameter rectified flow transformer developed by Black Forest Labs for advanced image inpainting and outpainting tasks. By providing an input image, a corresponding mask, and a textual prompt, users can seamlessly fill or extend specific regions of an image with contextually appropriate content. This model is trained using guidance distillation, ensuring efficient performance and high-quality outputs.
Key Features
- High-Quality Inpainting and Outpainting: Delivers professional-grade results, second only to the FLUX.1 Fill [pro] model, enabling precise image modifications.
- Text-Guided Image Completion: Combines user-provided prompts with image masks to generate coherent and contextually relevant content within specified regions.
- Guidance Distillation Training: Employs advanced training techniques to enhance efficiency and output quality.
- Open Weights for Research and Development: Provides open access to model weights, facilitating scientific research and creative exploration.
- Integration with Diffusers Library: Compatible with the Diffusers Python library, allowing for easy implementation and experimentation.
ComfyUI
flux-dev-fill is compatible with ComfyUI, offering a node-based workflow for local inference. This integration allows users to customize their video generation processes flexibly and efficiently on their systems.
Limitations
- Non-Factual Output: Not intended to provide factual information; outputs are generated based on statistical patterns.
- Potential Bias: As a statistical model, it may reflect or amplify societal biases present in the training data.
- Prompt Sensitivity: The quality and relevance of generated outputs are heavily influenced by the input prompts and mask accuracy.
- Visual Artifacts: May produce slight color shifts in unedited areas or visible seams when filling complex textures.
- License Restrictions: Released under a non-commercial license, restricting use to non-commercial purposes.
Out-of-Scope Use
The model and its derivatives may not be used in any way that violates applicable national, federal, state, local, or international law or regulation, including but not limited to:
- Exploiting, harming, or attempting to exploit or harm minors, including solicitation, creation, acquisition, or dissemination of child exploitative content.
- Generating or disseminating verifiably false information with the intent to harm others.
- Creating or distributing personal identifiable information that could be used to harm an individual.
- Harassing, abusing, threatening, stalking, or bullying individuals or groups.
- Producing non-consensual nudity or illegal pornographic content.
- Making fully automated decisions that adversely affect an individual’s legal rights or create binding obligations.
- Facilitating large-scale disinformation campaigns.
Accelerated Inference
Our accelerated inference approach leverages advanced optimization technology from WavespeedAI. This innovative fusion technique significantly reduces computational overhead and latency, enabling rapid image generation without compromising quality. The entire system is designed to efficiently handle large-scale inference tasks while ensuring that real-time applications achieve an optimal balance between speed and accuracy. For further details, please refer to the blog post.