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---
title: FluxM-Guided Lightning Upscaler
emoji: ⚡
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 4.44.1
app_file: app_v4.py
pinned: true
license: other
tags:
- upscaler
- super-resolution
- controlnet
- flux.1-dev
- flux.1-schnell
- flux.1-merged
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.
short_description: Lightning fast guided upscaling with FLUX.
---
# FLUX.1 Merged & Fused: Lightning Upscaler and Detailer
A high-performance image upscaling application built with FLUX.1 models, hosted on Hugging Face Spaces.
## Core Components
- **Framework**: Gradio (v4.44.1)
- **Main Model**: FLUX.1M-8step_upscaler-cnet
- **Text Encoder**: T5EncoderModel from FLUX.1-merged_uncensored
- **Vision Model**: Moondream for image captioning
## Key Features
1. **Image Upscaling**
- ControlNet-based upscaling
- Scale factor: 1-3x
- 8-step inference for speed
- Memory-optimized with xFormers
2. **Auto-Captioning**
- Uses Moondream for image analysis
- Generates detailed image descriptions
- Focus area specification
3. **Performance Optimizations**
- Attention slicing
- Memory-efficient attention
- BFloat16 precision
- GPU acceleration
## Environment Requirements
- PyTorch 2.4.0
- CUDA support
- Hugging Face token for model access
- Moondream API key
## Usage
1. Upload control image
2. (Optional) Enter custom prompt or use auto-caption
3. Adjust parameters:
- Scale (1-3x)
- Steps (2-16)
- ControlNet scale (0-1)
- Guidance scale (1-30)
- Seed (0-1000000)
## License
Non-commercial license (FLUX.1-dev) |