Model Information

FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 - Image 1
FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 - Image 2
FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 - Image 3
FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 - Image 4
FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 - Image 5
FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8 - Image 6

Description

FLUX.1 (Base UNET) + Google FLAN

Full Checkpoint with improved TE do not load additional CLIP/TE

This model took the 42GB FP32 Google Flan T5xxl and quantized it with improved CLIP-L for Flux. To my knowledge no one else has posted or attempted this.

  • Quantized from FP32 T5xxl (42GB 11B Parameter)

  • Base UNET no baked lora's or other changes

  • Full FP16 version is available.

  • NF4 Full checkpoint is ready to use in Comfy with NF4 loader or natively in Forge (Forge has Lora Support and Comfy is taking 10x longer then Forge per IT - I prefer comfy but the NF4 support is garbage)

  • FP8 version recommended for comfy just use standard checkpoint loader. (NF4 is recommended for Forge as it looses less in Quantitation)

Again Do not load a separate VAE, CLIP or TE - FP32 Quantized versions baked in.

Per the Apache 2.0 license FLAN is attributed to Google

FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8

FLUX_Dev_FLAN_FP8

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Model Details

Type
AI Model
Task
text-to-image
Subtype
Safetensors / Checkpoint AI Model
Created
Updated
May 21, 2026

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