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reacted
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their
post
with 😎
about 7 hours ago
HunyuanImage 3.0-Instruct just dropped
fresh -sourceImage 3.0model! Spent 20 mins testing it on a Messi + retro scrambler fusion case
Ran on diffusers v0.26.3 + CUDA 12.1 | 8B MoE params (1.3B activated) | zero VRAM issues
strength=0.9 Messi #10 kit/tattoo sharp, moto’s rusted metal texture blurred (classic open-source pain)
strength=0.7 Moto/cobblestone background crisp, Messi’s jersey details faded completely
strength=0.75 + prompt "Blend seamlessly, keep all original details": both subject & background sharp
No ControlNet, no manual masking the model’s chain-of-thought reasoning parses image+prompt first
Already outperforms Qwen-Image-Edit 2511 (GSB eval +25.7% on single-image edits) | 100% open-source
👉 Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct
technical report:https://arxiv.org/abs/2509.23951
Anyone else struggled with strength tweaks for fusion? This fixed it for my Messi+moto case did it work as well for yours?
reacted
to
their
post
with 🔥
about 7 hours ago
HunyuanImage 3.0-Instruct just dropped
fresh -sourceImage 3.0model! Spent 20 mins testing it on a Messi + retro scrambler fusion case
Ran on diffusers v0.26.3 + CUDA 12.1 | 8B MoE params (1.3B activated) | zero VRAM issues
strength=0.9 Messi #10 kit/tattoo sharp, moto’s rusted metal texture blurred (classic open-source pain)
strength=0.7 Moto/cobblestone background crisp, Messi’s jersey details faded completely
strength=0.75 + prompt "Blend seamlessly, keep all original details": both subject & background sharp
No ControlNet, no manual masking the model’s chain-of-thought reasoning parses image+prompt first
Already outperforms Qwen-Image-Edit 2511 (GSB eval +25.7% on single-image edits) | 100% open-source
👉 Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct
technical report:https://arxiv.org/abs/2509.23951
Anyone else struggled with strength tweaks for fusion? This fixed it for my Messi+moto case did it work as well for yours?
reacted
to
Benedictat's
post
with 🔥
about 7 hours ago
Tencent HunyuanImage 3.0-Instruct is seriously impressive
skyrocketed to 2nd place globally on the LMArena leaderboard, only trailing Google Nano-banana Pro.
What excites me most is its newly launched image editing and multi-image fusion capabilities
its semantic understanding is rock-solid this Instruct-following capability basically enables one-sentence end-to-end workflows, delivering a dimensionality-reducing boost in efficiency.
Frankly, it nails the pain points of frontline creators: old photo restoration, text modification, even extracting people from multiple images to create group shots. Previously, tweaking the fusion quality took tons of effort, but now the out-of-the-box realism and emotional expression are top-tier zero cheap AI artifacts
👉 Repo: https://hunyuan.tencent.com/chat/HunyuanDefault?from=modelSquare&modelId=Hunyuan-Image-3.0-Instruct
technical report:https://arxiv.org/abs/2509.23951