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Cover image for Sampling method DPM++ 2M SDE vs DPM++ 3M SDE with Schedule type Uniform vs Karras vs Exponential
Furkan Gözükara
Furkan Gözükara

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Sampling method DPM++ 2M SDE vs DPM++ 3M SDE with Schedule type Uniform vs Karras vs Exponential

Sampling method DPM++ 2M SDE vs DPM++ 3M SDE with Schedule type Uniform vs Karras vs Exponential — I think winner is DPM++ 3M SDE Uniform — Tested on fairly overtrained DreamBooth RealVisXL V4.0 based SDXL model

I wanted to the test newest Sampling method and Schedule types

I think my new favorite is DPM++ 3M SDE Uniform

The tests are concluded on a fairly overtrained RealVisXL V4.0 based Kohya DreamBooth model

Kohya recently made some changes so my older LR values are now causing overtraining. But I wanted to see how well the model can follow my prompts even though being overtrained

Please let me know which one you think best

Not cherry picked results

40 steps and 7 CFG used

After Detailer (ADetailer) is used with 70 steps, prompt: “photo of ohwx man” , 0.5 denoise

One example full metadata (only this one has negative prompt others don’t)

muscular photo of ohwx man wearing an amazing elven steel with gold robe over it full body full pant armor in a garden in ancient rome empire, hd, hdr, uhd, 2k, 4k
Negative prompt: nipples , nipple
Steps: 40, Sampler: DPM++ 2M SDE, Schedule type: Uniform, CFG scale: 7, Seed: 2129378110, Size: 1024x1024, Model hash: d4ca40b15c, Model: 15_may_L2_snr_8e_6, ADetailer model: face_yolov8n.pt, ADetailer prompt: photo of ohwx man, ADetailer confidence: 0.3, ADetailer mask only top k largest: 1, ADetailer dilate erode: 4, ADetailer mask blur: 4, ADetailer denoising strength: 0.5, ADetailer inpaint only masked: True, ADetailer inpaint padding: 32, ADetailer use separate steps: True, ADetailer steps: 70, ADetailer version: 24.4.2, Version: v1.9.3

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