FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8版本FLUX_Dev-FLAN_NF4 (ID: 1002767)

FLUX Dev/Schnell (Base UNET) + Google FLAN FP16/NF4-FP32/FP8版本FLUX_Dev-FLAN_NF4 (ID: 1002767)

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

FLUX.1 (Base UNET) + Google FLAN

NF4 is my recommended model for quality/speed balance.

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

描述:

训练词语:

名称: fluxDevSchnellBaseUNET_fluxDevFLANNF4.safetensors

大小 (KB): 16579357

类型: Model

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

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

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

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

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

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