Skill UI

Guide to producing high-quality images via HuggingFace Diffusers, covering text-to-image, image-to-image, inpainting, ControlNet conditioning, scheduler swaps, and reproducible pipelines for creative or production workflows.

DiffDock uses diffusion-based deep learning to predict protein-ligand binding poses, confidence, and batch virtual screening workflows for structure-based drug design.

Transforms a refined research proposal or method idea into a concise, claim-backed experiment roadmap, covering ablations, evaluation protocols, compute budgets, and execution order so papers can defend the problem, novelty, and any LLM/VLM/Diffusion/RL contribution.

Fine-tunes and evaluates OpenVLA-OFT/OFT+ to generate robot actions via LoRA-adapted VLA backbones, continuous L1 or diffusion action heads, and FiLM conditioning, covering LIBERO simulation and ALOHA real-world deployments with official reproduction workflows.