Powered by Stability AI. A PEFT LoRA adapter for Stable Diffusion 3.5 Medium, post-trained with DiffusionART using GenEval, CLIPScore, PickScore and HPSv2 feedback. Only the LoRA adapter is included; download the SD3.5 Medium base model separately. The adapter uses rank 32 and alpha 64. Same prompt and seed within each pair. Obtain access to the gated base model, authenticate with Hugging Face, and install the verified dependencies in an Use an official CUDA-enabled PyTorch wheel compatible with your driver. Then authenticate with an account that has access to the base model and this adapter. Download the adapter and run inference: The default settings are 512 x 512, 40 sampling steps…
Independent publisher
Zhenglin Wan
vanzl
Reinforcement Learning, Diffusion Model
Models in Library2
Datasets in Library0
Models on Hugging Face2
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Published tasks: Text to image, Text to video.
Reported licenses: other. Open a record to review its specific license and conditions.
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Models
HunyuanVideo-13B fine-tuned with DiffusionART, using temporal alignment, visual quality and motion quality rewards at 7:2:1, with a pretrained-reference MSE regularizer (β = 0.1). This repository contains the full transformer weights, not a LoRA or a complete pipeline. The inference entry below downloads the base model's VAE and text encoders automatically. Use the included infer.py. Expand the setup once, then run the example from the same directory. Linux, Python 3.12, a CUDA 12.1-compatible driver and toolkit (nvcc), and approximately 100 GiB of available GPU memory and disk space for the verified default path. The installer uses a pinned public DanceGRPO inference runtime. The fixed…