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Publish Noct Q V2 Base native NVFP4 with conversion provenance
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---
license: other
license_name: qwen-research
license_link: LICENSE
base_model:
- Qwen/Qwen-Image-2.1
tags:
- comfyui
- nvfp4
- image-to-image
- quantized
---
# Noct Q V2 Base — native ComfyUI NVFP4
Built with Qwen. This is a community quantization of **noctaluna's Noct Q V2.0 Base**,
not an official release by Qwen or noctaluna.
Original model: https://civitai.com/models/2958896?modelVersionId=3353641
**Modified file:** `noct_q_v2_base_nvfp4.safetensors` converts the original BF16
diffusion transformer to native ComfyUI NVFP4. All 192 attention/MLP projections
are quantized; the other 73 tensors remain byte-identical BF16. No fine-tuning,
merging, or changes to the text encoder or VAE were performed in this conversion.
This is the full-step **Base** model, not Turbo. The source author recommends
25–50 steps, CFG 1, Euler. Use the Qwen Image 2.1 encoder and 64-channel VAE.
Native NVFP4 inference requires compatible ComfyUI/comfy-kitchen and Blackwell
hardware. This file is intended for the native ComfyUI loader, not Diffusers.
## Provenance
- Source file ID: 3241225, Noct Q V2.0 Base BF16
- Source SHA-256: `89f4158d066cc33906a199fca85634f766892dd78f49b6698dabf187ac86c4bc`
- Output SHA-256: `899fd53851abe4dfe03a1ba1e4396f4e2e13bb288fbe84f2e1a067422a18d52e`
- Output bytes: 4197575272
- Converter: Comfy-Org/comfy-quants, commit `3d057e9c8e3132ef1853dec96f91d3de0aaf0e6a`
- Conversion: CPU, PyTorch 2.10.0, deterministic NVFP4 exporter with explicit Qwen 2.1 layer selection
## Validation limits
Source checksum, output tensor structure, scale finiteness, and preservation of
all BF16 tensors were checked. The converter passed 15 upstream CPU tests and
four parity tests against Comfy-Kitchen reference primitives.
**Native Blackwell inference, output quality, and performance have not been validated.**
## License
The Qwen Research License applies; see LICENSE and Notice. Non-commercial use
only unless separately licensed by the original rights holder. The source model
author permits derivatives under the same license.