Introduction
This workflow provides a comprehensive approach to setting up a Flux + LoRA workflow on MimicPC, ideal for users focused on personalized AI model training and image generation. This workflow offers a link to the LoRA library, which allows you to generate different Styles of AI creation. By combining Flux’s efficient VAE and diffusion modeling capabilities with LoRA's lightweight model fine-tuning, this workflow is powerful for customized generative outputs in art and design.
Flux 1D: Model Overview
Optimized for creative flexibility and detailed image outputs with a focus on realistic generation, FLUX.1D is an open-weight, guidance-distilled model for non-commercial applications. Directly distilled from FLUX.1 Pro, FLUX.1D offers similar quality and prompt adherence capabilities while being more efficient than a standard model of the same size.
Download: https://huggingface.co/black-forest-labs/FLUX.1-devhttps://huggingface.co/black-forest-labs/FLUX.1-dev
LoRAs Download link and Model Details
- Github: https://github.com/ali-vilab/In-Context-LoRA
- huggface: https://huggingface.co/ali-vilab/In-Context-LoRA/tree/main
- Project homepage: https://ali-vilab.github.io/In-Context-LoRA-Page/
Workflow
How to Run In-Context LoRA Workflow on MimicPC
1. Workflow Setup:
Begin by setting up the necessary modules for Flux and LoRA in MimicPC. This includes loading a diffusion model, LoRA parameters, and VAE (Variational Autoencoder) settings.
2. Prompt and Encoding
Use CLIP Text Encoding to convert textual prompts into vector representations as needed, allowing the model to understand and generate content based on your input.
3. Output Generation and Saving
The generated image is directed to the Save Image node. Right click and select Save Image.
