Free Image & Video Processing Toolkit

Description

--- name: free-image-and-video-generation description: "Free local AI image and video processing toolkit with cloud AI generation. Local tools: upscale (Real-ESRGAN), face enhance (GFPGAN/CodeFormer), background remove (rembg), object erase (LaMa), face swap (InsightFace), segment (FastSAM), media process (FFmpeg). Cloud tools: AI image/video generation via Atlas Cloud API (300+ models). For cloud generation, ALWAYS first use Atlas Cloud MCP tools (atlas_list_models, atlas_get_model_info) to find the model ID and parameter schema, then call scripts/ai-generate.py with the correct --model and parameters. Use when user asks to process, enhance, upscale, generate, or edit images/videos." --- # Free Image & Video Processing Toolkit **7 free local AI tools** + **cloud AI generation** (300+ models via Atlas Cloud API). Local tools run 100% on your machine — no API keys, no cloud costs. Cloud generation tools provide access to state-of-the-art AI models for image and video creation. ## Prerequisites - Python 3.10+ installed - [uv](https://docs.astral.sh/uv/getting-started/installation/) installed (`curl -LsSf https://astral.sh/uv/install.sh | sh`) - FFmpeg installed (`brew install ffmpeg` / `apt install ffmpeg` / `winget install ffmpeg`) ## Available Tools | Tool | Script | What It Does | |------|--------|-------------| | Image Upscale | `scripts/upscale.py` | 2x/4x super resolution using Real-ESRGAN | | Face Enhance | `scripts/face-enhance.py` | Restore and enhance faces using GFPGAN + CodeFormer | | Background Remove | `scripts/bg-remove.py` | Remove image backgrounds, output transparent PNG | | Object Erase | `scripts/erase.py` | Erase unwanted objects using LaMa inpainting | | Face Swap | `scripts/face-swap.py` | Swap faces between images using InsightFace | | Smart Segment | `scripts/segment.py` | Segment anything in images using FastSAM | | Media Process | `scripts/media-process.py` | Convert, compress, resize, extract with FFmpeg | | **AI Generate** | **`scripts/ai-generate.py`** | **Generate images/videos with 300+ cloud AI models** | ## Usage All scripts use `uv run` for zero-setup execution — dependencies are automatically installed on first run. ### Image Upscale (Real-ESRGAN) Upscale low-resolution images by 2x or 4x with AI super resolution. ```bash # 4x upscale (default) uv run scripts/upscale.py input.jpg # 2x upscale uv run scripts/upscale.py input.jpg --scale 2 # Upscale with face enhancement uv run scripts/upscale.py input.jpg --face-enhance # Batch upscale a folder uv run scripts/upscale.py ./photos/ --scale 4 # Custom output path uv run scripts/upscale.py input.jpg -o upscaled.png ``` ### Face Enhance (GFPGAN + CodeFormer) Restore old photos, enhance blurry faces, fix low-quality portraits. ```bash # Enhance faces in an image (GFPGAN, default) uv run scripts/face-enhance.py photo.jpg # Use CodeFormer (better fidelity control) uv run scripts/face-enhance.py photo.jpg --method codeformer # Adjust fidelity (0=quality, 1=fidelity, default 0.5) uv run scripts/face-enhance.py photo.jpg --method codeformer --fidelity 0.7 # Also upscale background (2x) uv run scripts/face-enhance.py photo.jpg --bg-upscale 2 # Batch process uv run scripts/face-enhance.py ./old-photos/ ``` ### Background Remove (rembg) Remove backgrounds from images, output transparent PNG. Supports multiple AI models. ```bash # Remove background (default u2net model) uv run scripts/bg-remove.py product.jpg # Use specific model uv run scripts/bg-remove.py photo.jpg --model isnet-general-use # Batch process folder uv run scripts/bg-remove.py ./products/ -o ./transparent/ # Keep only the foreground (alpha matting for fine edges) uv run scripts/bg-remove.py portrait.jpg --alpha-matting # Available models: u2net, u2netp, u2net_human_seg, u2net_cloth_seg, # silueta, isnet-general-use, isnet-anime, sam ``` ### Object Erase (LaMa Inpainting) Remove unwanted objects from images using a mask. ```bash # Erase objects (white area in mask = erase) uv run scripts/erase.py image.png --mask mask.png # Auto-generate mask from coordinates (x,y,width,height) uv run scripts/erase.py image.png --region 100,200,150,150 # Batch erase with matching masks (image1.png + image1_mask.png) uv run scripts/erase.py ./images/ --mask-dir ./masks/ ``` ### Face Swap (InsightFace) Swap faces between two images. ```bash # Swap face from source to target uv run scripts/face-swap.py --source face.jpg --target photo.jpg # Swap specific face index (when multiple faces detected) uv run scripts/face-swap.py --source face.jpg --target group.jpg --face-index 0 # Custom output uv run scripts/face-swap.py --source face.jpg --target photo.jpg -o result.png ``` ### Smart Segment (FastSAM) Segment any object in an image using text prompt, point, or bounding box. ```bash # Segment everything uv run scripts/segment.py image.jpg # Segment by text prompt uv run scripts/segment.py image.jpg --text "the dog" # Segment by point (x, y) uv run scripts/segment.py image.jpg --point 400,300 # Segment by bounding box (x1,y1,x2,y2) uv run scripts/segment.py image.jpg --box 100,100,400,400 # Output mask only uv run scripts/segment.py image.jpg --text "car" --mask-only ``` ### Media Process (FFmpeg) Convert, compress, resize, extract frames, merge audio/video — powered by FFmpeg. ```bash # Convert format uv run scripts/media-process.py convert input.mp4 output.webm # Compress video (target size in MB) uv run scripts/media-process.py compress input.mp4 --target-size 10 # Resize video uv run scripts/media-process.py resize input.mp4 --width 1280 --height 720 # Extract frames as images uv run scripts/media-process.py frames input.mp4 --fps 1 --output ./frames/ # Extract audio uv run scripts/media-process.py audio input.mp4 -o audio.mp3 # Create GIF from video uv run scripts/media-process.py gif input.mp4 --start 5 --duration 3 --fps 15 # Trim video uv run scripts/media-process.py trim input.mp4 --start 00:01:00 --end 00:02:30 # Merge multiple videos uv run scripts/media-process.py merge video1.mp4 video2.mp4 video3.mp4 -o combined.mp4 # Add watermark uv run scripts/media-process.py watermark input.mp4 --image logo.png --position bottom-right # Get media info uv run scripts/media-process.py info input.mp4 ``` ### AI Generate (Atlas Cloud API) — Gold Sponsor Generate images and videos using 300+ state-of-the-art AI models. Requires an Atlas Cloud API key. **IMPORTANT for AI agents**: Before calling this script, you MUST first use Atlas Cloud MCP tools to find the correct model ID and its required parameters: 1. Call `atlas_list_models` to browse available models, or `atlas_search_docs` to search for a specific model 2. Call `atlas_get_model_info` with the model ID to get the exact parameter schema (different models use different parameters — some use `size`, others use `aspect_ratio` + `resolution`, etc.) 3. Then call the script with `--model <full_model_id>` and the correct parameters ```bash # Generate image (pass full model ID from Atlas Cloud) uv run scripts/ai-generate.py image "A cat astronaut on the moon" --model black-forest-labs/flux-schnell --size 1024*1024 # Models using aspect_ratio + resolution (e.g. Nano Banana 2, Imagen4) uv run scripts/ai-generate.py image "Anime girl with blue hair" --model google/nano-banana-2/text-to-image --aspect-ratio 1:1 --resolution 1k # Models using size presets (e.g. Seedream) uv run scripts/ai-generate.py image "Product photo on marble" --model bytedance/seedream-v5.0-lite --size 2048*2048 # Edit existing image uv run scripts/ai-generate.py image "Make the sky sunset orange" --model bytedance/seedream-v5.0-lite/edit --image photo.jpg # Generate video uv run scripts/ai-generate.py video "Timelapse of cherry blossoms" --model alibaba/wan-2.6/text-to-video --size 1280*720 # Image-to-video uv run scripts/ai-generate.py video "The person starts walking" --model alibaba/wan-2.6/image-to-video --image portrait.jpg # Pass extra model-specific parameters as JSON uv run scripts/ai-generate.py image "A logo" --model google/imagen4-ultra --extra '{"num_images": 4}' # NSFW mode uv run scripts/ai-generate.py image "Artistic figure study" --model black-forest-labs/flux-dev-lora --nsfw ``` **Setup**: Set `ATLAS_CLOUD_API_KEY` in environment or `.env` file. Get your key at [atlascloud.ai](https://www.atlascloud.ai?utm_source=github&utm_campaign=free-image-and-video-generation-skill). ## Output All tools save output to `./output/` by default. Use `-o` or `--output` to specify a custom path. ## Models Models are automatically downloaded on first use and cached locally: | Tool | Model | Size | Cache Location | |------|-------|------|----------------| | Upscale | RealESRGAN_x4plus | ~64MB | `~/.cache/realesrgan/` | | Face Enhance | GFPGANv1.4 | ~348MB | `~/.cache/gfpgan/` | | Face Enhance | CodeFormer | ~376MB | `~/.cache/codeformer/` | | Background Remove | u2net | ~176MB | `~/.u2net/` | | Object Erase | LaMa | ~200MB | `~/.cache/lama/` | | Face Swap | buffalo_l + inswapper | ~500MB | `~/.insightface/` | | Smart Segment | FastSAM-s | ~23MB | auto-downloaded by ultralytics | Total first-run download: ~1.5GB. All subsequent runs use cached models. ## Tips - **GPU Acceleration**: All tools automatically use CUDA/MPS if available, falling back to CPU - **Batch Processing**: Most tools accept a folder path for batch processing - **Memory**: Face swap and segmentation may need 4GB+ RAM for large images - **First Run**: First execution downloads AI models — subsequent runs are instant ## Workflow Examples Combine local processing with cloud AI generation: ```bash # 1. Generate a product image with AI uv run scripts/ai-generate.py image "Minimalist perfume bottle, studio lighting" --model bytedance/seedream-v5.0-lite --size 2048*2048 # 2. Upscale to 4x resolution uv run scripts/upscale.py ./output/seedream-v5.0-lite_*.png --scale 4 # 3. Remove background for e-commerce uv run scripts/bg-remove.py ./output/*_x4.png --alpha-matting # 4. Generate a product video uv run scripts/ai-generate.py video "A perfume bottle rotating slowly" --model kwaivgi/kling-v3.0-pro/text-to-video --duration 5 # 5. Add watermark to the video uv run scripts/media-process.py watermark ./output/text-to-video_*.mp4 --image logo.png ```

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