MimicPC is a cloud-based platform that allows you to run and manage a wide range of AI applications and models without the hassle of installation or complex setup. With its user-friendly interface and powerful features, MimicPC streamlines your AI journey, enabling you to focus on creativity and productivity.
Key Features
Launch Without Installation: Start using AI apps with a single click, eliminating the need for time-consuming installations or configurations.
20+ Pre-Deployed AI Apps: Access a diverse collection of pre-installed AI apps, including Stable Diffusion, ComfyUI, Fooocus, FaceFusion, and more, without any setup required.
24/7 File Management: Seamlessly access and manage your AI models anytime, with cloud uploads and one-click deployment for enhanced convenience.
Performance Optimization: Adjust computing power to ensure smooth app performance, ensuring efficiency and optimal resource utilization.
Cloud-Based Settings: Store and access app settings in the cloud, enhancing security and enabling seamless work across multiple devices.
Energy-Saving Mode: Intelligent energy-saving monitors GPU usage, automatically conserving energy and reducing costs.
Key Use Cases
AI Image Generation: Leverage powerful tools like Automatic1111 WebUI, ComfyUI, and Fooocus to create stunning AI-generated images with ease.
Face Swapping and Enhancement: Explore FaceFusion, a next-gen face swapper and enhancer that delivers realistic, high-quality results powered by deep learning.
Conversational AI: Engage with Ollama-Webui, an extensible and user-friendly large-scale model dialogue platform, or Chatbot-Ollama, an open-source chat UI for Ollama.
Voice Conversion: Utilize RVC (Retrieval-based Voice Conversion), an advanced voice conversion system based on VITS, for convenient and efficient voice transformation.
Pricing
MimicPC offers flexible pricing plans to suit your needs:
Medium Plan: $0.49/hour, suitable for all MimicPC apps, with 16GB VRAM and a batching size of Large.
Large Plan: $0.99/hour, providing a more efficient working experience with 24GB VRAM and a Very Large batching size.
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