Colossus Project Flux

Version V10_int4_SVDQ "Nunchaku"Installation: Please visit my workflow/install guide: <a target="_blank" rel="ugc" href="https://civitai.com/articles/15610">https://civitai.com/articles/15610</a>First I want to say thanks to theunlikely <a target="_blank" rel="ugc" href="https://huggingface.co/theunlikely">https://huggingface.co/theunlikely</a> who converted the FP16_Unet into int4_SVDQ. Go visit his page and leave a like.This version is more or less equal to the FP8 version. Even on the normal mode inside my workflow this thing is about 2X-3X faster than the regular model.. With the "fast mode" of the workflow I can render an 2MP image in around 19 seconds with my 3090ti.What is SVDQ "Nunchaku"?This new quantification method allows it to shrink Flux models (in this case a native FP16 model) from 24GB to about 6.7GB. But thats not all: you can run generations faster than ever before without loosing too much quality. Sure you will see a small difference between my 32GB_Behemoth but for this thingy you will need a lot more Vram/RAM to even run it.For more information visit: <a target="_blank" rel="ugc" href="https://github.com/mit-han-lab/ComfyUI-nunchaku?tab=readme-ov-file">https://github.com/mit-han-lab/ComfyUI-nunchaku?tab=readme-ov-file</a>

colossusProjectFlux_v10Int4SVDQ.safetensors

colossusProjectFlux_v10Int4SVDQ.zip

v10_int4_SVDQ

v12_fp4_nunchaku

v12_int4_SVDQ_nunchaku

V12 Behemoth (AIO)

V12 Q5_1_GGUF_variant_B

V12 "Hephaistos"FP16_UNET

V12 "Hephaistos" FP8_AIO

V12 FP16_UNET_B_variant

V12 "Hephaistos" FP8_UNET

v10_Clip_L

v10B_"BOB"_FP16_UNET_Only

v10B_"BOB"_FP8_UNET_Only

v10B_FP8_AIO "BOB" FP8

v10_UNET_only_FP16

v10_Behemoth_AIO_FP16

v10_UNET_only_FP8

v10_AIO_FP8

v9.0_AIO

v5.0_GGUF_Q8.0

v5.0_AIO_Behemoth

v4.4_AIO

V5.0_Clip_L

v5.0_FP8_UNET

v5.0_AIO

v4.2_AIO

2.1_GGUF_Q8_0

Clip_L_V2.1

2.1_de-distilled_FP8_UNET

2.1_de-distilled_GGUF 4_1

2.1_de-distilled_AIO_exp

v2.0_all_in_one_exp.

v1.0_UNET_Only_GGUF_Q4_1

v1.0_UNET_Only_GGUF_Q8_0

v1.0_UNET_Only_GGUF_Q4_0

v1.0_FP16_UNET_ONLY

v1.0_Clip_L_Colossus_Proj

v1.0_UNET_only_FP8

v1.0_all in one_fp8

Files with SHA256: 27ee21a55060f46296333dec2b8d0863d79f08107e13f27d5756a2df09008d33