Spaces:
Running
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Running
on
Zero
| 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) |