Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: Using the provided reference image, preserve the warm marigold backdrop, the seated woman’s closed-eyes smile and purple-white windbreaker, and the tattooed beanie-wearing singer’s pose and red layered vest exactly, but replace only the black handheld microphone with a small plush yellow HuggingFace hugging-face emoji toy (smiling face with open hands) held to his mouth in the same grip and position, rendered with photographic realism, matching studio lighting, soft fabric texture, and seamless integration. After generating the image, overlay the text “HuggingFace” in the upper-left corner of the frame in large, bold, all-caps ITC Avant Garde Gothic Pro Medium (or a near-identical geometric sans-serif if unavailable), pure white (#FFFFFF), with no date, subtitle, drop shadow, or outline. The text should be substantial in scale — taking up a meaningful portion of the upper-left area — with comfortable margin from the top and left edges, set against the negative space of the orange backdrop so it does not overlap or obscure the singer, the seated woman, or the replaced object.
New insane model from Jackrong on @huggingface 🤯 Qwen3.5-9B-GLM5.1-Distill-v1 🧠 Distilled on GLM-5.1 reasoning ⚙️ Deeper thinking than base model 🧪 Benchmarks coming soon ✅ Fits on 8GB VRAM ✍️ New model after Qwopus/Gemopus After distilling Claude Opus 4.6, he’s now back
https://x.com/leftcurvedev_/status/2044700338817564814
The PR you would have opened yourself
https://huggingface.co/blog/transformers-to-mlx
Introducing Kernels on the Hugging Face Hub ✨ What if shipping a GPU kernel was as easy as pushing a model? – Pre-compiled for your exact GPU, PyTorch & OS – Multiple kernel versions coexist in one process – torch.compile compatible – 1.7x-2.5x speedups over PyTorch baselines
https://x.com/ClementDelangue/status/2044053580504584349
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