• Available models: meta-llama/Llama-3.2-1B or meta-llama/Llama-3.2-1B-Instruct.
• Simply put ComfyUI-LLama3shuffle into ComfyUI/custom_nodes.
• Now you'll find the Node in the -> "zer0int" group.
• Or use the provided workflow (for Flux.1) (but the node works for prompting any model!).
• Allows shuffling of Layers (Attn, MLP, Full Layer) of a model, then generates a -> Prompt.
• ⚠️ Gated Model. You'll have to sign meta-llama/Llama-3.2-1B + Login via HuggingFace CLI to access.
• You can also use other (larger) models, such as meta-llama/Llama-3.2-3B, by replacing or adding it to my code. The LLama 3.2 models should all work fine. They just have more layers you can then specify in the shuffle_layer_range in the ComfyUI node.
• ✅ You can also replace meta-llama/Llama-3.2-1B / -Instruct with a fine-tune from HuggingFace - as long as it is the same model (LLama 3.2), it should work fine (no matter if the fine-tune is gated or not; I don't check for that in the code, it happens on the HuggingFace backend entirely).
• ‼️ Disclaimer: While this modification does not target anything specifically, shuffling the layers in a transformer may lead to unexpected / unintended consequences. DO NOT DEPLOY + blame me (or Meta) for it. RESEARCH / personal learning use ONLY. ⚠️

Example output: Translation of prompt + adding details. No shuffling; normal model:

And now, with Attn shuffling -- pure GPT-3 style madness:

Example output: Llama-3.2-1B-Instruct with shuffled Attention in Layers 6,7,8. Quote:

• 🤖: I am the creation of the scene you have the ability to see. I am a dark, sleek model of efficiency. Here is your image for efficiency.