akhaliq/Qwen-Image-2.1-Multiple-Angles-LoRA
image-to-image model by akhaliq
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From the publisher
Model card & documentation
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[](https://hf.co/chat?mode=ml-intern) Reshoot any object from a controlled camera position: feed a photo, ask for a different azimuth/elevation, get the same subject from that angle. First camera-control LoRA for Qwen-Image-2.1 — the newest Qwen image base (unified generate + edit, native RGBA), where this format did not exist yet. v2 is trained on v1's documented weak spots (characters, OOD identity detail) and is the recommended download. v1 files remain untouched in checkpoints/; the grammar and pose dictionary below are unchanged. Recommended v2 file: checkpointsv2/anglesv2fullqwen21multipleanglesv2qwen21multipleanglesv2000001500.safetensors (step 1,500 · 319 MB · rank 64) v2 orbit demo — the golden retriever reshot through all 12 azimuths at eye level (step 1,500, single seed per frame): Full labeled strip: examples/orbitstripv2.jpg. Also new: the orange-cat orbit, protocol-matched to v1's orbitcat.gif — examples/orbitcatv2.gif. Checkpoint evidence (stated plainly): two independent reads agree on step 1,500. (a) The run's per-250-step sample grids (samples/qwen21multipleanglesv2/samples/) — angle-following solid from step…
Read the full model card ↗ · Preview checked 2026-10-30T12:25:34.600Z
Inside the original model card — Document outline
- Qwen-Image-2.1 · Multiple-Angles camera-control LoRA
- ✅ v2 available now — recommended
- Which checkpoint to use (v1)
- Real photos
- Object examples (training distribution)
- What the base model does with the same captions
- Benchmark — 24 held-out objects, LoRA vs base, with ground truth
- Prompt format
- Azimuth (12 steps of 30°)
- Elevation
- Usage
- Training
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
akhaliq/Qwen-Image-2.1-Multiple-Angles-LoRA is a image-to-image model repository published by akhaliq on Hugging Face. The source reports the diffusers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-to-image
- Library
- diffusers
- Recent downloads (30 days)
- 1,550
- Cumulative likes
- 82
- Hugging Face trending score
- 75
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-06T22:06:51.000Z
- Last modified
- 2026-10-13T16:29:45.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen-Image-2.1
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-14T06:41:08.835Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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