Introduction
DPM-Solver designs a dedicated solver for diffusion ordinary differential equations, reducing network evaluations and adding a history of sampling methods behind model releases.
View full image ↗Figure 1: DDIM and DPM-Solver samples at different evaluation counts. Source: v3; the image version is distinct from the initial submission date.
Lu, Cheng; Zhou, Yuhao; Bao, Fan; Chen, Jianfei; Li, Chongxuan; Zhu, Jun · original paper / arXiv · Rights in the paper and depicted works remain with their holders. Research quotation does not establish an open licence; republication rights await independent review.
Source · DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps ↗RESEARCH ACCOUNT
DPM-Solver designs a dedicated solver for diffusion ordinary differential equations, reducing network evaluations and adding a history of sampling methods behind model releases.
ANTI-AI ARCHIVE · Revised 2026-10-03
What the paper investigates
The paper treats sampling as solving a diffusion ordinary differential equation. It handles the linear component analytically and constructs a higher-order numerical method for the remaining computation. The solver can be applied to discrete- and continuous-time diffusion models without retraining the generating network.
Section sources: DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Its place in generative-art history
Editorial interpretation: the sampler is a production tool often hidden by interfaces. Changing the solution process can change waiting time and outputs even when the trained model is unchanged, so platform version lists cannot explain the whole workflow.
Section sources: DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Reading limits and versions
“Around ten steps” describes the research goal and particular experiments, not uniform quality across resolutions, conditioning strengths and subjects.
Section sources: DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Sources for this account
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 2; proofs and full experiments were not independently audited.
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 2; proofs and full experiments were not independently audited. The account and translation are AI-assisted, pending independent human review. Section references identify evidence without claiming independent verification of every historical statement.
Continue with a comparative question
DPM-Solver: compare methods, control or evaluation conditions with Diffusers library.
DPM-Solver: compare methods, control or evaluation conditions with stable-diffusion-webui.
Dates & version record
Date displayed for this node: 2022-06-02 · Historical date recorded for the source: 2022-06-02
The timeline uses the initial arXiv submission, distinct from conference publication, model release and the archive addition on 3 October 2026. The account and image refer to v3; its date is recorded in the source history.
These dates refer to the historical event or recorded version, not this page’s publication date. The original date precision and unresolved questions are retained.
Original sources & further reading
These links lead to the cited paper, article, institution or conference page. External texts retain their source languages.
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
https://arxiv.org/abs/2206.00927
Current cited URL
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 2; proofs and full experiments were not independently audited.
Provenance, translation & verification
Archive node #180 · Initial research-paper submission; methods, evaluation and production conditions
Research materials & supplement references · 1
Recent research papers: additions and reconciled sources since 2022 · Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 2; proofs and full experiments were not independently audited. · 003
Date as recorded: 2022-06-02
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps ↗
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Archive account based on the listed research materials, not a full translation of the linked work. AI-assisted translation; independent human review pending.
Official material was read within the stated scope; see the source note for reading limits and outstanding checks.
Cite this node
ANTI-AI ARCHIVE. DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. Art-history node #180. https://salondesrefuses.cn/en/art-history/326
For specific historical claims, also cite the original sources above and include your access date. This account is not a full translation of the linked work.
Adjacent nodes follow chronological order; adjacency does not establish direct influence or causation.