Inspect AI model files: Safetensors, GGUF & ComfyUI

Read the metadata inside AI model files without downloading gigabytes of weights. Yellorn decodes the Safetensors / GGUF header and the ComfyUI workflow locally — just the structure, never the tensor data.

Read the header, skip the weights

AI model files are huge — gigabytes of tensor weights. But the part you usually want to inspect is tiny: the header. Yellorn reads only that header, locally in your browser, and never loads the tensor data. So you can check a model's architecture or a workflow's prompt in seconds, without downloading the whole file into the editor.

Drag the file onto the editor to open it.

Open Yellorn Editor for Safetensors

Editor tab set to Safetensors after dropping a .safetensors file — the buffer shows a computed __summary__ block with tensor_count 5, total_parameters, and a by_dtype breakdown, followed by each tensor's dtype, shape, and byte offsets, with the same structure expanded in the tree view on the right — Drop a .safetensors file and the header decodes instantly — tensor count, parameter total, dtype breakdown, and every tensor's shape — without touching the multi-gigabyte weights.

What each file shows

Safetensors (.safetensors) — the tensor map (each tensor's name, dtype, and shape) plus a computed __summary__. The raw weights are never read.
GGUF (.gguf) — a computed __summary__ (architecture, parameter count, quantization mix, key hyperparameters), the file's full metadata key/value map, and the tensor list.
ComfyUI PNG — the workflow embedded in a generated image: a __summary__ (checkpoint, LoRAs, sampler, size, positive / negative prompts), the API prompt graph, and the UI workflow. The pixels are never decoded.

Useful things to do with it

Compare two checkpoints — open each model's header in a tab and diff the summaries.
Recover a ComfyUI workflow from a PNG someone shared — the API prompt is ready to POST straight to ComfyUI's /prompt endpoint.
Convert the header to JSON for an editable tab, or search it with JMESPath.

Frequently asked questions

How do I view a Safetensors file's metadata without loading the model?

Drop the .safetensors file onto Yellorn. It reads only the file's header — the tensor map with each tensor's name, dtype, and shape, plus a computed summary — locally in your browser. The multi-gigabyte tensor weights are never read or loaded.

What does the GGUF viewer show?

For a .gguf file Yellorn shows a computed summary (architecture, parameter count, quantization mix, and key hyperparameters), the file's full metadata key/value map, and the tensor list — read from the header only, without loading the weights.

Can I extract the workflow or prompt from a ComfyUI PNG?

Yes. Drop the generated PNG and Yellorn reads the workflow embedded in the image: a summary (checkpoint, LoRAs, sampler, size, positive/negative prompts), the API prompt graph ready to POST to ComfyUI's /prompt endpoint, and the UI workflow. The pixels themselves are never decoded.

Does it download the entire model file?

No. Only the header bytes are parsed; the tensor weights are never read into the editor. Inspection happens locally in your browser, so you can check a model's architecture or quantization in seconds without pulling gigabytes of data.

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