SD3.5 Large + Google FLAN

    sd35LargeGoogleFLAN_large3CLIPFLANBF16.safetensors Checkpoint / SD 3.5 Large

    Model Information
    Model Name
    SD3.5 Large + Google FLAN
    Version
    LARGE_3CLIP_FLAN_BF16
    Creator
    Felldude
    Size
    25.72 GB
    Downloads
    4,277
    Torrent Details
    BTIH
    527CDEF0B95496415F1F64D0FEE3CB88DB218D8B
    BTMH
    1A3893B397D05B2F64F5B084D7AF8EFC69DCD09736F70AA50F62EA1E4203BDFF
    SHA256
    45198BFC99E3B099C0A784208F14F27F25E376C58B861CEA46A7B26DA639CE8B
    Upload Date
    5 months ago
    Uploader
    CivitasBay.org
    Status
    2 Seeders
    0 Peers
    Info

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

    SD3.5 Large with FLAN improved TE

    • The Full BF16 model runs at an amazing speed even on my 8GB card. It was built with Triple Clip using the 42GB Google FLAN T5xxl 12B parameter model (Converted to BF16), CLIP-G and improved CLIP-L

    • The Full FP16 model runs at half the speed of the BF16 version, on my card but may have better accuracy.

    • Do not use negatives above 0.2 timestamp - If you do not understand this line load any image as a workflow. (The same instructions as base SD 3.5)

    • If you have a 8GB card I suggest the Medium Model with FLAN it is still about several times faster then the BF16 FLAN model on my RTX 3050 (1.5 seconds per IT vs 5-6 Seconds Per IT for the 26GB model)

    Works in Comfy-UI without any modification just load checkpoint and go.

    Per the Apache 2.0 license FLAN is attributed to Google

    My IT's per Second on an old 3050 8GB RTX

    SD 3.5 Large (Triple CLIP FP8)

    13.5GB = 6-8 Seconds Per IT

    22GB Hybrid = 6-8 Seconds Per IT

    26GB (BF16 FULL) = 5-6 Seconds per IT (BF16 seems to be faster for 1bit less precision but wider range I think it is worth it)

    26GB (FP16 FULL) = 8-16 Seconds per IT (FP16 seem to have erratic IT/s compared to BF16)

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