Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
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Mar 11, 2025 - Python
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classifier-free-guidance
Here are 31 public repositories matching this topic...
Creating a diffusion model from scratch in PyTorch to learn exactly how they work.
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Apr 4, 2025 - Python
Training-Free (Inversion-Free) methods meet WAN2.1-T2V🤗
open-source video-editing wan t2v classifier-free-guidance rectified-flow training-free flowalign flowedit wanalign inversion-free
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Apr 6, 2026 - Python
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
time-series pytorch vae latent-variable-models triplet-loss variational-autoencoder remaining-useful-life latent-space diffusion-models c-mapss turbofan-engine ddpm classifier-free-guidance conditional-data-generation preventive-maintenance
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May 17, 2024 - Python
Zero-shot voice cloning text-to-speech (TTS) with explicit emotion class conditioning built on F5-TTS
python text-to-speech emotion pytorch tts speech-synthesis zero-shot fine-grained fine-tuning voice-cloning emotional-speech speech-generation classifier-free-guidance flow-matching f5-tts f5tts
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Mar 3, 2026 - Python
ReNeg: Learning Negative Embedding with Reward Guidance
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Dec 22, 2025 - Python
A latent flow-based diffusion model trained on the 2012 ImageNet dataset from scratch.
imagenet image-generation diffusion-models latent-diffusion stable-diffusion classifier-free-guidance rectified-flow flow-matching
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May 21, 2025 - Python
The implementation for "3D Scene Diffusion Guidance using Scene Graphs" paper. A Diffusion Model for Conditional 3D Scene Generation with Classifier-Free Guidance on Scene Graphs
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Aug 15, 2023 - Jupyter Notebook
Exploring classifier-free guidance in a DDPM language model for text generation towards emotion targets.
text-generation language-model diffusion ddpm guided-diffusion classifier-free classifier-free-guidance
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Sep 7, 2025 - Python
NeurIPS25 Spotlight | Classifier-free guidance (CFG) can be viewed as fixed-point iteration and thus be upgraded.
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Nov 24, 2025 - Python
TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance (ICCV 2025)
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Jul 25, 2025 - Python
DDPM (Denoising Diffusion Probabilistic Models) and DDIM (Denoising Diffusion Implicit Models) for conditional image generation
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Jan 17, 2025 - Python
Quantitative framework for measuring how conditioning effectiveness varies with noise level in diffusion model inference (SD 1.5 & SDXL)
computer-vision inference-optimization diffusion-models conditional-generation stable-diffusion classifier-free-guidance
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Mar 10, 2026 - TeX
Diffusion Tutorials (Enhanced Chinese Edition) — A Chinese-translated and theory-enhanced version of tsmatz/diffusion-tutorials, bridging diffusion model theory (DDPM/SMLD/SDE) with practical PyTorch implementations.
machine-learning computer-vision deep-learning pytorch sde stochastic-processes probabilistic-modeling generative-models diffusion-models stable-diffusion classifier-free-guidance classifier-guidance ddpmpipeline score-based-model
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Mar 28, 2026 - Jupyter Notebook
A Simplified notebook for Smoothed Energy Guidance utilised for Stable Diffusion 2.1 base
diffusion-model attention-map classifier-free-guidance stable-diffusion-2-1 smoothed-energy-guidance
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Jul 8, 2025 - Jupyter Notebook
extension for old Forge webui; methods to modify the CFG during diffusion; can bypass uncond calculations for free performance gain
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Jun 25, 2024 - Python
Medical Image Synthesis project (MedSyn). In-depth evaluation of the efffects of different synthesis models (i.e., CFG ccDDPM) for medical image synthesis for class balancing on image datasets (i.e., PathMNIST).
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Jan 17, 2026 - Python
Text-to-Image Generation with Mamba State Space Models and Kolmogorov-Arnold Networks — a linear-complexity alternative to Stable Diffusion
computer-vision deep-learning pytorch vae image-generation unet clip text-to-image mamba kan state-space-model diffusion-models ddpm ddim latent-diffusion generative-ai classifier-free-guidance kolmogorov-arnold-network
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Mar 29, 2026 - Python
PyTorch implementation of 'CFG' (Ho et al., 2022).
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May 15, 2024 - Python
Parameter-efficient optimization of conditional diffusion models using multi-resolution attention, classifier-free guidance ablation, and DDIM sampling — achieving 17% FID improvement with 85% reduced training time.
computer-vision deep-learning pytorch transfer-learning unet attention-mechanism cifar10 fid inception-score diffusion-models pytorch-lightning conditional-generation ddim generative-ai classifier-free-guidance fp16-training parameter-efficient-training
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Mar 3, 2026 - Jupyter Notebook
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