AUTOMATIC1111/stable-diffusion-webui-wildcards
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Diffusion models, image editing, upscaling and the surrounding creative tooling.
Signals: stable-diffusion, diffusion-models, image-generation, text-to-image, generative-art, comfyui, controlnet, flux
880 results
Wildcards
an images browse for stable-diffusion-webui
MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with block diffusion, mixed-CoT, unified RL)
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
Fine-tuning StyleGAN2 for Cartoon Face Generation
ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation (ICCV 2023, Oral)
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Official Implementation of "Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining"
[ICCV 2025] Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement 🔥
PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs
[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
StoryMaker: Towards consistent characters in text-to-image generation
Practice Code for text to image trainer
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Open-Set Grounded Text-to-Image Generation
Generative Adversarial Text-to-Image Synthesis
[ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.
[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).
[ECCV 2024] Officially implement of the paper "DrivingDiffusion: Layout-Guided Multi-View Driving Scenarios Video Generation with Latent Diffusion Model".
[TIP2026] Official codes of CCSRv2 and CCSRv1: Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution
[ECCV 2024] HiDiffusion: Increases the resolution and speed of your diffusion model by only adding a single line of code!
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)
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