Generate multi-view images from text or an image
Kolors Character to keep character developed with Flux
Generate imaginative cat-themed images using text prompts
Generate customized images using text and an ID image
Generate virtual try-on images by masking and overlaying garments
FLUX 4-bit Quantization(just 8GB VRAM)
Ultra-high resolution image synthesis
Highly hackable hub w/ Flux, SD 3.5, LoRAs, no GPUs required
Generate images from text prompts with various styles
Generate images from text prompts
Kolors Portrait to keep face identity developed with Flux
Multiview Diffusion 3d is an advanced AI-powered tool designed for generating multi-view images from either text prompts or existing images. It leverages cutting-edge diffusion technology to create 3D-like reconstructions and multiple perspective views, making it highly versatile for various applications in image generation and manipulation.
• Text-to-Image Generation: Generate multi-view images directly from text descriptions. • Image-to-Image Generation: Create additional views from a single input image. • 3D Reconstruction: Automatically estimate depth and reconstruct 3D-like scenes from 2D inputs. • Photo-Realistic Outputs: Produce highly realistic and detailed images. • Customizable Views: Define specific angles or perspectives for output images. • Versatile Applications: Suitable for gaming, architecture, product design, and more.
What inputs are supported by Multiview Diffusion 3d?
Multiview Diffusion 3d supports both text prompts and existing images as inputs, allowing users to generate multi-view outputs in different scenarios.
Can I customize the viewing angles?
Yes, users can define specific angles or perspectives for the output images, providing greater control over the generation process.
What are typical applications of Multiview Diffusion 3d?
Common applications include game development, architecture visualization, product design, and 3D content creation. It is ideal for any scenario requiring multiple viewpoint visualizations of a scene or object.