HiDream Skeleton Mode: Prompt Beats OpenPose Ref — 8 Patterns Benchmarked
The article discusses the benchmarking of the HiDream-O1-Image model in skeleton mode across various patterns. It highlights three key findings regarding the use of reference images and their impact on pose generation. The author also shares insights on the model's performance and the technical aspects of its implementation.
- ▪HiDream-O1-Image was benchmarked across 8 skeleton mode patterns and 3 layout patterns.
- ▪Using an openpose reference locks the pose to its composition, limiting dynamic movement.
- ▪Maintaining 3-4 reference images yields better quality compared to using 6 references, which degrades fine details.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/shinji_shimizu_bb51276a5e/hidream-skeleton-mode-prompt-beats-openpose-ref-8-patterns-benchmarked-3bm7 |
| Publication time | Fri, 22 May 2026 11:23:05 +0000 |
| Retrieval time | 2026-05-22T11:32:01.655Z |
| Last seen | 2026-05-22T11:32:01.655Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 1g4pRYxy2U5q |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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Rights status (four layers)
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3945785) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } shinji shimizu Posted on May 22 • Originally published at kotonia.ai HiDream Skeleton Mode: Prompt Beats OpenPose Ref — 8 Patterns Benchmarked #ai #machinelearning #python #gpu TL;DR After benchmarking HiDream-O1-Image (released 2026-05, OpenWeight 8B, ranked #8 on Artificial Analysis Text-to-Image Arena) across 8 skeleton (try-on) mode patterns plus 3 layout patterns, three counterintuitive findings emerged. Passing an openpose ref actually locks the pose to the ref's composition.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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