Back to PublicationsDec 18, 2024●15 reads●Apache 2.0Image Captioning and Text-to-Image with BLIP and Stable Diffusiony@yaz1BLIPComputer VisionImage CaptioningStable DiffusionText-to-ImageTable of contents Image Captioning and Text-to-Image with BLIP and Stable Diffusion Objectives Pipeline Implementation Resources Image Captioning and Text-to-Image with BLIP and Stable Diffusion Objectives Enhance visual understanding through automated image descriptions. Generate high-quality images from text descriptions. Support multilingual captioning and speech synthesis for accessibility. Pipeline Implementation Load Models: BLIP: Used for image captioning. Stable Diffusion: Generates images from text. Google Translator: Translates captions to multiple languages. gTTS: Converts text into speech. Image Captioning: User uploads an image. Caption is generated using BLIP. Caption is translated into multiple languages. Speech synthesis converts the caption to audio. Text-to-Image Generation: User provides a text description. Stable Diffusion generates the corresponding image. Resources GitHub Repository: Image-Captioning-Text2Image Hugging Face Space: Image-Captioning-Text2Image FilesImage Captioning and Text to Image (1).pdf
