ComfyUI WAN 2.2 Workflow: Fast, Realistic, Cinematic Text to Image Generation

This workflow adapts Wan 2.2's realistic video generation methods, trained on real TV/Movie footage, to produce batches of fast, cinematic, and crisp images from text prompts.

FLUX & Krea: Text2Image

ComfyUI Workflow: FLUX & Krea Text2Image Generation This FLUX & Krea workflow integrates the FLUX.1-Krea-dev model, a collaboration between Black Forest Labs and Krea AI, for generating high-quality images from text descriptions directly within ComfyUI. It is built on a 12-billion-parameter rectified flow transformer architecture to deliver realistic and aesthetically pleasing visual outputs. What makes FLUX & Krea special - **Unique Aesthetic Style**: Generates images with a distinct aesthetic, avoiding common "AI-like" visual characteristics. - **Natural Detail Preservation**: Maintains natural details without over-highlighting. - **Superior Realism**: Offers exceptional image quality and realism. - **Full FLUX.1 Compatibility**: Designed with an architecture fully compatible with FLUX.1 [dev]. - **Optimized for ComfyUI**: Tailored for seamless integration into creative workflows. How it works - **Rectified Flow Transformer**: Leverages a 12-billion-parameter rectified flow transformer for efficient and high-fidelity image synthesis. - **Text-to-Image Generation**: Transforms detailed text prompts into visually rich images. - **VRAM Management**: Defaults to `fp8_e4m3fn_fast` for broader compatibility, with an option for `default` `weight_dtype` for users with higher VRAM (e.g., RTX 4090 24GB) to achieve better quality. Quick start in ComfyUI - **Load Workflow**: Open the FLUX & Krea Text2Image graph in ComfyUI. - **Step 1: Input the Prompt**: Enter your desired text description into the prompt field. - **Step 2: Set the Canvas Resolution**: Adjust the image dimensions to your preference. - **Step 3: Get Image**: Run the workflow to generate your image based on the input. Recommended settings - **VRAM**: The original model is approximately 23GB. For optimal quality, an RTX 4090 with 24GB VRAM is recommended, allowing you to set `weight_dtype` to `default`. - **Weight Data Type**: For lower VRAM setups, keep `weight_dtype` set to `fp8_e4m3fn_fast`. - **Machine Type**: A 'Large-Pro' machine is recommended for smooth operation. Why use this workflow - **High-Quality Outputs**: Generate visually appealing and realistic images from text. - **Efficient Creation**: Streamlines the process of turning ideas into visuals. - **Artistic Control**: Produce images with a unique aesthetic that avoids generic AI looks. Use cases - **Concept Art Generation**: Rapidly create visual concepts for projects. - **Creative Content Production**: Generate unique images for marketing, design, or personal use. - **Visual Storytelling**: Bring narratives to life with custom-generated imagery. Pro tips - **Prompt Detail**: Use descriptive and specific prompts to guide the model to your desired output. - **Resolution Experimentation**: Try different canvas resolutions to see their impact on image detail and composition. - **VRAM Awareness**: Monitor your VRAM usage, and adjust `weight_dtype` if you encounter memory issues. - **Community Resources**: For very low VRAM systems, consider waiting for community-developed fp8 or GGUF versions of the model.

InstaLoRAm: Your Virtual Influencer Generator

ComfyUI Workflow: InstaLoRAm - Your Virtual Influencer Generator This workflow uses QwenEdit, Loras, and SDXL upscale to create an infinite number of pictures of your input image. From one single image and as many prompts as you desire, you can generate your subject in any situation and clothing imagined. The results can be used to train a LoRA or directly populate a virtual social media feed. **What InstaLoRAm Achieves** - **Versatile Image Generation**: Transforms a single source image into countless new visual scenarios. - **Creative Control**: Guides image generation with multiple text prompts for diverse situations and attire. - **High-Quality Outputs**: Leverages SDXL upscale for detailed and refined images. **How It Works** - **Single Image Input**: Begin with one core image of your subject. - **Prompt-Driven Creation**: Supply various prompts to dictate desired contexts, poses, and clothing. - **Advanced AI Integration**: Utilizes QwenEdit and Loras to intelligently modify and render new images based on your prompts. **Use Cases** - **Virtual Social Media**: Populate a virtual influencer's feed with endless unique content. - **LoRA Dataset Generation**: Create a rich dataset for training custom LoRA models. - **Character Concepting**: Rapidly explore different looks and environments for a specific character. **Quick Start in ComfyUI** - **Load the Workflow**: Open the InstaLoRAm graph in ComfyUI. - **Connect Input**: Provide your chosen source image. - **Set Prompts**: Enter your descriptive prompts for desired outcomes. - **Generate Images**: Run the workflow to produce a series of unique visual outputs.

OmniGen2: Text2Image

ComfyUI Workflow: OmniGen2: Text2Image OmniGen2 is a powerful and efficient multimodal generative model for ComfyUI. It features a dual-path Transformer architecture with independent text and image models, totaling 7B parameters (3B text, 4B image) for specialized optimization and parameter decoupling. What makes OmniGen2 special - **High-fidelity image generation**: Create stunning images from text prompts. - **Instruction-guided image editing**: Perform complex, instruction-based image modifications with state-of-the-art performance among open-source models. - **Contextual visual output**: Generate novel and coherent images by flexibly combining diverse inputs like people, reference objects, and scenes. - **Visual understanding**: Inherits robust image content interpretation from the Qwen-VL-2.5 base model. - **In-image text generation**: Capable of producing clear and legible text content within images. How it works - **Dual-path architecture**: Utilizes a Qwen 2.5 VL (3B) text encoder and an independent diffusion Transformer (4B). - **Omni-RoPE position encoding**: Supports multi-image spatial positioning and differentiates identities effectively. - **Parameter decoupling**: Prevents text generation tasks from negatively impacting image quality. - **Unified task support**: A single architecture handles various image generation tasks, including complex text and image understanding. - **Controllable output**: Provides precise control over image generation and editing processes. - **Detail preservation**: Ensures excellent detail in the final visual outputs. Quick start in ComfyUI - **Inputs**: Text prompts for generation, and optionally instructions for editing. - **Load workflow**: Import the OmniGen2 ComfyUI graph. - **Generate**: Run the workflow to create images or apply edits based on your prompts. Recommended settings - **Machine**: A Large-PRO setup is recommended for optimal performance. Why use this workflow - **Versatile capabilities**: Combines powerful text-to-image generation, advanced editing, and context-aware scene creation. - **Optimized performance**: Benefits from specialized, decoupled text and image models for efficiency and quality. - **High-quality results**: Delivers high-fidelity images with exceptional detail and the ability to generate clear text within images. - **Leading editing features**: Offers precise, instruction-based image modifications comparable to top open-source models. Use cases - **Creative design**: Rapidly generate visual concepts and artwork from textual descriptions. - **Professional image editing**: Apply complex, targeted modifications to images using natural language instructions. - **Scene composition**: Build intricate visual scenes by integrating various contextual elements. - **AI art exploration**: Leverage a cutting-edge multimodal model for diverse generative tasks. Pro tips - Craft detailed and specific text prompts to guide image generation effectively. - Experiment with multi-modal inputs to leverage the context generation capabilities. Conclusion OmniGen2 offers a **unified, efficient, and powerful multimodal generative model** in ComfyUI. It excels at high-fidelity text-to-image generation, instruction-guided editing, and context-aware visual output, providing excellent detail and controllable results.