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Qwen-Image-Edit LoRA 96 Camera Angles for 3D-Consistent Image Tweaks
fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA levels up perspective editing
96 poses (4 elevations × 8 azimuths × 3 distances) – close-ups, wide shots, all angles covered
Trained on 3000+ Gaussian Splatting renders – 3D consistency holds even for -30° low-angle shots
Works with Qwen/Qwen-Image-Edit-2511 base models (LoRA strength 0.8-1.0) + ComfyUI workflow included
Tested it – plug-and-play, no fussy setup.
https://huggingface.co/fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA
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HY-MT1.5-1.8B Lightweight Translation Model Open-Source Game-Changer
Tencent raised the bar for lightweight translation!
Supports bidirectional translation across 36 languages total—33 mainstream languages + 5 ethnic/minority dialects
With only 1.8B parameters (less than 1/3 the size of HY-MT1.5-7B), it delivers performance on par with the 7B counterpart and outperforms most commercial translation APIs.
✅ Quantized versions (FP8/GPTQ-Int4) available for edge device deployment, perfect for real-time translation
✅ Full support for terminology intervention, context-aware translation, and formatted output
✅ Ready-to-use prompt templates + seamless integration with Hugging Face Transformers
✅ Recommended transformers ≥ 4.56.0 (FP8 model requires compressed-tensors 0.11.0)
10+ Hugging Face Spaces already integrated this model!
👉 Model Repo: https://huggingface.co/tencent/HY-MT1.5-1.8B
👉 Technical Report: https://arxiv.org/abs/2512.24092
reacted
to
wangbuer999's
post
with 🔥
about 5 hours ago
HY-MT1.5-1.8B Lightweight Translation Model Open-Source Game-Changer
Tencent raised the bar for lightweight translation!
Supports bidirectional translation across 36 languages total—33 mainstream languages + 5 ethnic/minority dialects
With only 1.8B parameters (less than 1/3 the size of HY-MT1.5-7B), it delivers performance on par with the 7B counterpart and outperforms most commercial translation APIs.
✅ Quantized versions (FP8/GPTQ-Int4) available for edge device deployment, perfect for real-time translation
✅ Full support for terminology intervention, context-aware translation, and formatted output
✅ Ready-to-use prompt templates + seamless integration with Hugging Face Transformers
✅ Recommended transformers ≥ 4.56.0 (FP8 model requires compressed-tensors 0.11.0)
10+ Hugging Face Spaces already integrated this model!
👉 Model Repo: https://huggingface.co/tencent/HY-MT1.5-1.8B
👉 Technical Report: https://arxiv.org/abs/2512.24092
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