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TimestepEmbedSequential

Syntologyentry name in harvested coderead from the graph 2026-09-24

TimestepEmbedSequential appears in the code Syntology harvested for 28 papers, as 29 distinct code bodies found in 29 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named TimestepEmbedSequential do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 29 distinct code bodies named TimestepEmbedSequential; 29 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
29unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 29 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

28 papers shown of 28, newest first; 29 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 5 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Cortex-Grounded Diffusion Models for Brain Image Generation added by Syntology 2026-01 (from id) ai-med/Cor2Vox/model/BrownianBridge/BrownianBridgeModel_c2v.py 0a2f861456c6f58b unverified GPL-3.0 (copyleft) · pointer only
FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching added by Syntology 2026-01 (from id) sisinflab/FlowLet/flowlet/models/flow_matching.py e39ebf675cef9863 unverified MIT (permissive)
Joint Geometry-Appearance Human Reconstruction in a Unified Latent Space via Bridge Diffusion added by Syntology 2026-01 (from id) haiantyz/JGA-LBD/JGA-LBD/DDBM/ddbm/unet3d.py cf375c540c0c041b unverified no licence file found · pointer only
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators added by Syntology 2025-12 (from id) bohan95/dual-app-bridge/model/BrownianBridge/ABridge.py cde946a4c257860b unverified MIT (permissive)
Beyond Isolated Words: Diffusion Brush for Handwritten Text-Line Generation added by Syntology 2025-08 (from id) dailenson/DiffBrush/models/unet.py 661d22c736946198 unverified MIT (permissive)
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual 3 Mar 2025 ChongWang1024/RDMD/guided_diffusion/unet_traj.py 8b58481b16d2016f unverified no licence file found · pointer only
CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation 12 Oct 2024 xyfjason/ctrlora/cldm/cldm_ctrlora_inference.py b714f25e81b2ceff unverified Apache-2.0 (permissive)
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models 9 Jul 2024 rodinhd/rodinhd/pretrained_diffusion/unet.py 205c3e5ebc517d56 unverified no licence file found · pointer only
Diff-BGM: A Diffusion Model for Video Background Music Generation 20 May 2024 sizhelee/Diff-BGM/diffbgm/stable_diffusion/model/unet.py 324fc9cc3ad487cd unverified no licence file found · pointer only
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt 17 Apr 2024 Jamie-Cheung/LSAST/cldm/cldm.py 1c67e34b46237f50 unverified Apache-2.0 (permissive)
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping 19 Oct 2023 fudan-zvg/pgc-3d/ldm/modules/diffusionmodules/openaimodel.py 52958f7c2c3d2f92 unverified Apache-2.0 (permissive)
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion 5 Oct 2023 ai-forever/Kandinsky-2/kandinsky2/model/text2im_model2_1.py e587c8596212bcdf unverified Apache-2.0 (permissive)
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption 7 Sep 2023 sjtuplayer/few-shot-diffusion/model/big_unet.py ed74c5af0b1d1d51 unverified no licence file found · pointer only
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation 9 Aug 2023 layoutllm-t2i/layoutllm-t2i/GLIGEN/ldm/modules/diffusionmodules/gligen_combine_layout.py 8bab56c818b37ac8 unverified no licence file found · pointer only
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis 4 Jul 2023 stability-ai/generative-models/sgm/modules/diffusionmodules/openaimodel.py 0b73a46bc27e47c6 unverified MIT (permissive)
GlyphControl: Glyph Conditional Control for Visual Text Generation 29 May 2023 aigtext/glyphcontrol-release/cldm/cldm.py 48f3e455f9262eb2 unverified MIT (permissive)
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion 25 May 2023 ymxlzgy/commonscenes/model/networks/diffusion_networks/sg_diff.py d72478273c76d0a8 unverified no licence file found · pointer only
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing 13 Apr 2023 adobe-research/diffusion-rig/diffusion/model.py fedcf75fd2b2ca46 unverified licence not identified · pointer only
EGC: Image Generation and Classification via a Diffusion Energy-Based Model 4 Apr 2023 GuoQiushan/EGC/guided_diffusion/unet.py 0a27379d61f545ac unverified MIT (permissive)
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation 30 Mar 2023 zgctroy/layoutdiffusion/layout_diffusion/layout_diffusion_unet.py d174605e83159ebd unverified MIT (permissive)
Consistency Models 2 Mar 2023 sainzerjj/sferd/unet/student_unet.py 9ce7073af820d275 unverified MIT (permissive)
Video Probabilistic Diffusion Models in Projected Latent Space 15 Feb 2023 sihyun-yu/pvdm/models/ddpm/unet.py 740f3cb32cafdf77 unverified MIT (permissive)
Domain Expansion of Image Generators 12 Jan 2023 lllyasviel/controlnet/cldm/cldm.py 07137093faf869ca unverified Apache-2.0 (permissive)
Generating astronomical spectra from photometry with conditional diffusion models 2022-11 (from id) larsdoorenbos/generate-spectra/generative/unet.py da007c56087b5a65 unverified MIT (permissive)
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding 23 May 2022 deep-floyd/if/deepfloyd_if/model/unet.py 79ba2446de89789e unverified licence not identified · pointer only
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models 20 Dec 2021 openai/glide-text2im/glide_text2im/text2im_model.py ebfd51a2d88f9da8 unverified MIT (permissive)
Diffusion Models Beat GANs on Image Synthesis 11 May 2021 clu0/unet.cu/dev/unet.py d9ce54d68567e11c unverified no licence file found · pointer only
Denoising Diffusion Probabilistic Models 19 Jun 2020 Ashwin-Pokharel/base_diffusion/model.py f7f131ff4e466645 unverified no licence file found · pointer only
Denoising Diffusion Probabilistic Models 19 Jun 2020 xiaosheng-zhao/st4diffusion/unet.py 22f97d8aaa08d367 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections