How to Use ByteDance Seedance 2.0's API to Generate Lip-Synced Video with Native Audio
Complete API guide for Seedance 2.0: text-to-video, image-to-video, multimodal inputs, and phoneme-accurate lip sync in 8+ languages with native audio.
Complete API guide for Seedance 2.0: text-to-video, image-to-video, multimodal inputs, and phoneme-accurate lip sync in 8+ languages with native audio.
Turn still photos into animated talking videos by driving facial expressions and lip sync with audio input
Generate high-quality videos from text prompts using CogVideoX. Includes practical code, VRAM optimization, and batch processing workflows.
Generate photorealistic building renders from floor plans and wireframes using ControlNet conditioning in Python
Create custom background music for videos and apps with MusicGen’s text-to-music generation pipeline
Swap garments onto person images with diffusion-based inpainting, DensePose, and warping techniques
Create clean black-and-white coloring pages from AI-generated images using ControlNet and edge detection
Create AI comic strips with consistent characters across panels using diffusers, IP-Adapter, and grid layouts
Create AI-generated fonts and styled lettering using diffusion models and image-to-image pipelines in Python.
Upscale photos, anime art, and faces with Real-ESRGAN and SwinIR models using practical, runnable Python code
Transform room photos into styled interior renders using ControlNet depth conditioning and Stable Diffusion inpainting.
Create clean vector-style logos with SDXL, negative prompts, and refinement techniques in Python
Build frame-by-frame animated videos with prompt scheduling, camera motion, and smooth transitions in Python
Create game-ready pixel art with Stable Diffusion by combining pixel art LoRAs with targeted prompts
Create multi-layered AI scenes by generating backgrounds, subjects, and effects as separate layers
Create production-ready seamless repeating patterns with Stable Diffusion for textiles, wallpapers, and game textures
Convert hand-drawn sketches into polished AI images using ControlNet’s scribble mode with Stable Diffusion in Python
Create custom sound effects from text prompts using Meta’s AudioGen model in Python
Create character sprites, pose variations, and packed sprite sheets using Stable Diffusion and Pillow
Create production-ready sticker and emoji assets with Stable Diffusion, automatic background removal, and style-consistent prompts
Generate seamless game textures, normal maps, and batch material sets with Stable Diffusion XL and diffusers
Create stunning tiled wallpapers at any resolution using Stable Diffusion with seamless generation
Turn rough sketches into production-ready UI mockups with ControlNet conditioning and SDXL.
Set up StreamDiffusion for near-real-time text-to-image and img2img streaming with TensorRT acceleration and webcam integration.
Generate speech in a cloned voice from just a few seconds of reference audio using OpenVoice V2
Edit photos with plain English prompts – no masks, no inpainting, just describe the change you want and let the model handle it
Create 3D Gaussian splat scenes from text descriptions and render them from any camera angle
Generate two-host podcast episodes from any topic using LLMs for dialogue and text-to-speech for natural audio.
Build product photography pipelines that replace backgrounds, generate scenes, and keep products consistent across shots.
Master character consistency in AI-generated images using reference photos, face embeddings, and style transfer for professional results.
Create AI-generated floor plans from sketches or text prompts using ControlNet and Stable Diffusion XL
Use LCM and LCM-LoRA to turn Stable Diffusion into a near-real-time image generator with minimal quality loss
Create seamless textures and full PBR material sets from text prompts or photos with diffusers and PIL
Strip backgrounds from photos with one function call and swap in new scenes using AI generation
Turn any photo into art by combining it with the style of famous paintings using deep neural networks in Python
Build custom voice pipelines using OpenAI’s steerable TTS and ElevenLabs’ voice cloning API with working Python examples
Get precise control over AI image generation using ControlNet spatial conditioning and IP-Adapter style transfer
Replace or remove objects in images with prompt-guided AI inpainting running locally on your GPU
Train custom subjects and styles into Stable Diffusion on a single GPU with LoRA adapters
Create 3D meshes in OBJ and GLB formats from text or a single photo using open-source and API-based tools
Create music, sound effects, and edit audio clips using diffusion models on your own GPU
Run Black Forest Labs’ FLUX.2 models locally to create images from text prompts on your own hardware
Run Stable Diffusion on your own GPU to create images from text prompts with full control
Use MusicGen to create music from text prompts and melodies on your own GPU with full parameter control
Turn any image into a short video clip with SVD on your own GPU using complete Python code