Comfy-Org has published a pre-quantized build of Black Forest Labs’ FLUX.2 [dev] in a ComfyUI repository that showed more than one million downloads at publication. Hugging Face’s counter includes repeat file requests, so the figure measures repository activity rather than unique installations.

The package removes much of the usual setup work. Its files map directly to ComfyUI’s model folders, and the included workflows run without a Diffusers wrapper. Developers still face substantial hardware requirements: FLUX.2 [dev] combines a 32-billion-parameter rectified-flow transformer with a 24-billion-parameter Mistral vision-language encoder.

The Bundle Mirrors ComfyUI

The repository organizes its weights under split_files/diffusion_models, split_files/text_encoders, split_files/vae, and split_files/loras. Each directory corresponds to a folder under ComfyUI/models.

A typical installation follows five steps:

  1. Update ComfyUI to a build that supports FLUX.2.
  2. Copy the transformer into ComfyUI/models/diffusion_models.
  3. Choose one Mistral encoder variant and place it in ComfyUI/models/text_encoders.
  4. Copy the VAE into ComfyUI/models/vae, then add any optional adapters under ComfyUI/models/loras.
  5. Import one of the supplied workflow JSON files for text-to-image generation, image editing, or product mockups.

Loader errors involving an unknown architecture or missing nodes usually indicate an outdated ComfyUI installation or custom node. Users seeking a smaller transformer can try