Download Controlnet Models On Hugging Face

インスピレーションと洞察から生成されました 6 ソースから

はじめに

ControlNet Models: These are AI models used to control Image Diffusion by conditioning on additional input images, enhancing creative processes in Stable Diffusion contexts.
Versions Available: ControlNet models have multiple versions including v1.0 and v1.1, each bringing enhancements and additional features.
Downloading Discussion: Users often discuss how to download ControlNet models efficiently from platforms like Hugging Face.
Git Clone Issue: Direct git cloning does not straightforwardly download ControlNet models due to specific hosting constraints like Git LFS (Large File Storage).
Direct Download Advice: Users are advised to use specific download icons or scripts to download model files, ensuring correct file formats.

Bulk Download Option: Using a bash script can help in downloading multiple ControlNet models from Hugging Face in a single go.
LFS Consideration: Enabling Git LFS is required for downloading large files correctly using git clone.
Correct Download: Clicking the download arrow icon is recommended for accurate file downloading.
Clone Discussion: Git cloning requires patience; waiting for console confirmation to ensure completion.
Alternative Scripts: Users can employ specific scripts that automate the download process across various links.

ControlNet-SD1.5: Utilizes Stable Diffusion 1.5 integrated with features like canny and HED edge detection.
ControlNet-SD2.0: Compatible with SD2.0 offering similar functionalities adapted for newer versions.
Custom Models: Built by the community adopting various practices and enhancements.
LoRa Models: Small-sized implementations aiming for efficient processing, fitting unique user needs.
FP16 Versions: Models converted to 16-bit precision, offering balanced quality and size.

Model Location: Place downloaded models in 'models/ControlNet' directory for installation.
File Types: Ensure downloaded files end with '.pth', '.safetensors', or '.bin' for recognition.
Common Mistakes: Avoid saving HTML pages as model files during download process.
Download Process: Use designated icons, not file name right-clicking, for accurate file download.
Requirements: Proper setup includes selecting correct model formats and tools that align with the ControlNet framework.

Artistic Image Generation: ControlNet models empower artists with control over image diffusion processes.
Research and Development: Used in developing cutting-edge applications in AI-driven imagery.
Interactive Installations: Enhance user interaction by integrating ControlNet with perceptive installations.
Cross-Platform Functionality: Models are adaptable for usage across various diffusion platforms.
Creative Community Projects: Open-source contribution fosters unique applications extending ControlNet functionalities.

Mikubill Webui Plugin: Essential tool extending ControlNet capabilities via web interface.
Gradio Demos: Accessible demonstrations providing insights into real-world ControlNet applications.
Colab Lists: Extensive repository of ControlNet models facilitating widespread experimentation.
Public Source Discussion: Ongoing discourse and updates in community-led forums like Reddit.
Educational Tutorials: Resources such as training tutorials assist users in model adaptation.