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Hugging Face

2 posts about Hugging Face. Every summary links to the original.

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Hugging Face
Welcome FLUX.3 Image Klein in Diffusers
The Black Forest Labs FLUX.3 Image Klein model is now available in Diffusers, combining text-to-image, multi-reference image-to-image, and bounding-box layout control into one pipeline. Two open checkpoints are offered: a distilled version using 16 inference steps without classifier-free guidance for fast generation, and a base version requiring 50 steps with guidance. The distilled checkpoint produces a 1024x1024 image in about two seconds on an H100, and quantized NVFP4 and FP8 weights can be loaded via from_single_file to reduce memory. The model is built as a Modular Diffusers pipeline, enabling users to remove, replace, or insert custom components, such as a block that captures intermediate clean-image previews. LoRA fine-tuning scripts for both text-to-image and image editing are included, along with a prompting guide for optimal scene descriptions.

Hugging Face
The model that didn't exist, so you made it yourself
The author wanted a small version of the prompt rewriter that ships with Qwen-Image 2.1, but the official 9B model requires about 20 GB of memory. Using ML Intern in HuggingChat, they created a 0.8B version that runs on a CPU, returns valid output 99.7% of the time, and uses about a quarter of the teacher’s tokens. The compute for the entire project, including having the 9B model label 8,797 example requests, came to USD 16. Over a few days, the author made five more models using the same approach, each starting as a message in HuggingChat with ML Intern switched on. The author’s prompts include verified facts, a baseline request, a smoke test, and a spending cap. The six models built include a citrus disease vision model, a Huggy character LoRA, a camera-angle LoRA, a doodle-in LoRA, a pocket rewriter, and a distilled text-to-image model.

The best engineering reads, once a week.

Topic

2 posts about Hugging Face. Every summary links to the original.

Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.

Newest first

Hugging Face
Welcome FLUX.3 Image Klein in Diffusers
The Black Forest Labs FLUX.3 Image Klein model is now available in Diffusers, combining text-to-image, multi-reference image-to-image, and bounding-box layout control into one pipeline. Two open checkpoints are offered: a distilled version using 16 inference steps without classifier-free guidance for fast generation, and a base version requiring 50 steps with guidance. The distilled checkpoint produces a 1024x1024 image in about two seconds on an H100, and quantized NVFP4 and FP8 weights can be loaded via from_single_file to reduce memory. The model is built as a Modular Diffusers pipeline, enabling users to remove, replace, or insert custom components, such as a block that captures intermediate clean-image previews. LoRA fine-tuning scripts for both text-to-image and image editing are included, along with a prompting guide for optimal scene descriptions.

Hugging Face
The model that didn't exist, so you made it yourself
The author wanted a small version of the prompt rewriter that ships with Qwen-Image 2.1, but the official 9B model requires about 20 GB of memory. Using ML Intern in HuggingChat, they created a 0.8B version that runs on a CPU, returns valid output 99.7% of the time, and uses about a quarter of the teacher’s tokens. The compute for the entire project, including having the 9B model label 8,797 example requests, came to USD 16. Over a few days, the author made five more models using the same approach, each starting as a message in HuggingChat with ML Intern switched on. The author’s prompts include verified facts, a baseline request, a smoke test, and a spending cap. The six models built include a citrus disease vision model, a Huggy character LoRA, a camera-angle LoRA, a doodle-in LoRA, a pocket rewriter, and a distilled text-to-image model.

The best engineering reads, once a week.