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dmd2
XXX-Ray

XXX-Ray

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#Realistic

This version is a DMD2 4-step Lora merge of XXX-Ray V1.1. No need to download/activate the Lora separately.

DMD
(Distribution Matched Distillation) allows you to generate fairly good
quality images in as little as 4 steps with the LCM sampler. It cannot
produce images equivalent in overall quality to a non-DMD2 checkpoint,
so please keep this in mind. On the other hand, with 6-10 steps, this
thing is fast as hell and outputs more than reasonable generations—which
is great for anyone without a high-end graphics card.

No PAG
needed for this one. Just ~8 steps, LCM w/Exponential at CFG ~1-2.0. A
convenient workflow is provided that will get you off the ground running
with text-to-image, an additional DMD2 fast upscale with a Tile
ControlNet (to keep things intact while adding detail), and a bonus
FaceDetailer node that also takes advantage of the speed of DMD2/lcm. A major weakness of DMD2 is that the low-cfg requirement eliminates attention to the negative at cfg=1.0.
My workflow (see examples with workflow embedded) adjusts the noise
tonemap and rescales cfg so that you can boost cfg a bit and still have
that negative prompt perform somewhat functionally.

번역문 보기

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모델과 대화하기
공고
2025-05-12
모델 게시
2025-05-12
모델 정보 업데이트
모델 상세정보
유형
Checkpoint
게시 날짜
2025-05-12
기본 모델
SDXL 1.0
Model Parameters
clip_skip:1
트레이닝 매개변수
Epochs:10
Steps:10000
버전 소개

This version is a DMD2 4-step Lora merge of XXX-Ray V1.1. No need to download/activate the Lora separately.

DMD
(Distribution Matched Distillation) allows you to generate fairly good
quality images in as little as 4 steps with the LCM sampler. It cannot
produce images equivalent in overall quality to a non-DMD2 checkpoint,
so please keep this in mind. On the other hand, with 6-10 steps, this
thing is fast as hell and outputs more than reasonable generations—which
is great for anyone without a high-end graphics card.

No PAG
needed for this one. Just ~8 steps, LCM w/Exponential at CFG ~1-2.0. A
convenient workflow is provided that will get you off the ground running
with text-to-image, an additional DMD2 fast upscale with a Tile
ControlNet (to keep things intact while adding detail), and a bonus
FaceDetailer node that also takes advantage of the speed of DMD2/lcm. A major weakness of DMD2 is that the low-cfg requirement eliminates attention to the negative at cfg=1.0.
My workflow (see examples with workflow embedded) adjusts the noise
tonemap and rescales cfg so that you can boost cfg a bit and still have
that negative prompt perform somewhat functionally.

허가 범위
모델 출처: civitai

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