Web Reference: Oct 2, 2025 · The repository provides code for training and running Stable Diffusion-style models, instructions for installing dependencies (with notes about performance libraries like xformers), and guidance on hardware/driver requirements for efficient GPU inference and training. This stable-diffusion-2-1-base model fine-tunes stable-diffusion-2-base (512-base-ema.ckpt) with 220k extra steps taken, with punsafe=0.98 on the same dataset. Use it with the stablediffusion repository: download the v2-1_512-ema-pruned.ckpt here. New depth-guided stable diffusion model, finetuned from SD 2.0-base. The model is conditioned on monocular depth estimates inferred via MiDaS and can be used for structure-preserving img2img and shape-conditional synthesis.
YouTube Excerpt: Check out Anyscale and try it for free here: https://www.anyscale.com/papers
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