view post Post 18 if you are interested in HUB (https://saemi410.github.io/HUB/) and you want to run the UCE (https://unified.baulab.info), please check:- Model weights for UCE here: telcom/uce_NSFW- datasets and more download materials from: telcom/HUB_reference_datasetPlease note that: The weights here are a partial UNet state_dict (e.g. only a few attn2.to_k/to_v weights). So in loading it with PyTorch’s default strict=False is required. See translation Reply
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning Paper • 2410.05664 • Published Oct 8, 2024 • 9
Multimodal Implementations Collection Comprehensive Demo of Multimodal VLMs on the Hub • 23 items • Updated about 16 hours ago • 11
Running on Zero MCP Featured 84 Qwen-Image-Edit-2511-LoRAs-Fast 🎃 84 Demo of the Collection of Qwen Image Edit LoRAs
Running on Zero Featured 800 Qwen Image Edit ✒ 800 Edit and enhance images based on descriptive instructions
Running on Zero 169 Qwen Image Edit 2511 🏆 169 Generate edited images based on a prompt and input image