Sprite-Sheet-Diffusion weights (community re-host)

Re-host of the released model weights for Sprite Sheet Diffusion: Generate Game Character for Animation (Hsieh, Zhang, Yan; arXiv:2412.03685; upstream repo). The authors released these only via a Google Drive folder whose readme links had gone stale; this repo preserves the recovered files.

An AnimateAnyone-style checkpoint set, finetuned (30000 steps) on game sprite data:

file	role	note
denoising_unet.pth	denoising UNet (SD1.5 family)	finetuned, differs from the Moore/patrolli AnimateAnyone baseline
reference_unet.pth	ReferenceNet (headless SD1.5 UNet)	finetuned, differs from the baseline

Not included, by upstream release status:

• pose guider: never released (upstream issue #3 is open and unanswered; no mirror is known to exist). Use the Moore baseline pose_guider.pth from patrolli/AnimateAnyone.
• motion module: the Drive copy is byte-identical to the baseline motion_module.pth from patrolli/AnimateAnyone, so it is not duplicated here.

Companion files needed for inference: VAE stabilityai/sd-vae-ft-mse and the CLIP vision encoder from lambdalabs/sd-image-variations-diffusers (image_encoder/).

Provenance

Recovered 2026-08-28 from the paper's public Google Drive folder 1VxbOv5PE441NsNStQlmqbIw0iyY9Mn9L (files denoising_unet-30000.pth, reference_unet-30000.pth). Verified against the Moore baseline: identical tensor key sets and shapes, weight values differ (max sampled abs diff ~0.010). sha256:

341cca53cfaa4e0c05098e511b8a3dc1a0db90c6ec68f345ba14115e0d3e43ac  denoising_unet.pth
84194364a42b5ae8b2a93a60b02a36ed0f989c230bb4c3ee33d7956bba5d0dcc  reference_unet.pth

Usage

Runs in PyTorch with the upstream repo, or natively in C++ via the AnimateAnyone port of stable-diffusion.cpp at fszontagh/stable-diffusion.cpp (branch feat/sprite-sheet-diffusion, see docs/animate_anyone.md): pass these as --diffusion-model and --reference-net, with the Moore baseline pose guider and motion module.

License: MIT (upstream project license); training data CC0 per the upstream readme.