[Community] LoRA extract版本LORA1024CD1024perfectWorld_v2Baked (ID: 31470)

LoRA extractions is not as good as the full model but it creates a compromise between size and quality and it can be used along other LoRA model with a full model. Credit goes the creator of the checkpoint in version description

Sorry, i do not accept anymore request link(s) in my comments "Suggestions for a model extraction?"

04.0417.23 Name version is limited to 10 25 character, make it impossible to see full name... see below "List of all LoRA model".

How to use it in AUTOMATIC1111 WebUI?

• Place the LoRA model in .\stable-diffusion-webui\models\Lora then use <lora:filename:multiplier> in the prompt.

About the comparison:

• Picture order: First = LoRA, Second = Fine-tuned Model, Third = Base Model

• DM = Network Dimension ( 120=lower quality/low size, 320=higher quality/higher size ) same for CD = Conv Dimension (Rank)
  [CD is optionally if you wish to use it, install the extension: https://github.com/KohakuBlueleaf/a1111-sd-webui-locon (How? Extensions -> Install from URL)]
  Obviously Version "1024CV1024" or in short "1024" use more VRAM
  I did a large comparison DM+CV here

• sample pictures does not use vea and LoRA model with SDv1.4

• every model from (Stable Diffusion Base Model: mostly sd-v1-4.ckpt, model base is determined by highest % affinity) was extracted using Kohya_ss (Save precision: fp16)

• Name format: <Type><DM> <CV><Name>

List of all LoRA model:

• LORA1024CV1024experience_80 - LORA320experience_80

• LORA1024CV1024cardosAnimated_v20 - LORA320cardosAnimated_v20

• LORA1024CV1024flat2DAnimerge_v10 - LORA320flat2DAnimerge_v10

• LORA1024CV1024realismEngine_v10 - LORA320realismEngine_v10

• LORA1024CV1024vectorArt_pulpVectorBeta - LORA320vectorArt_pulpVectorBeta

• LORA1024CV1024hasdx_hasedsdx - LORA320hasdx_hasedsdx

• LORA1024CV1024verisimilitude_V14 - LORA320verisimilitude_V14

• LORA1024CV1024rpg_V4 - LORA320rpg_V4

• LORA1024CV1024galaxytimemachinesForyou_v10 - LORA320galaxytimemachinesForyou_v10

• LORA1024CV1024galaxytimemachinesGTM_v3Pruned - LORA320galaxytimemachinesGTM_v3Pruned

• LORA1024CV1024hassakuv1m

• LyCORIS1024CV1024illuminatiDiffusionV1_v11 - LORA320illuminatiDiffusionV1_v11

• LORA1024CV1024xrikishisUnstable_alpha50 - LORA320xrikishisUnstable_alpha50

• LORA1024CV1024diivesStyle_10 - LORA320diivesStyle_10

• LORA1024CV1024elldrethsImagination_v10 - LORA320elldrethsImagination_v10

• LORA1024CV1024digitalVividMemoriesAnime_10 - LORA320digitalVividMemoriesAnime_10

• LORA1024CV1024generalPurpose - LORA320generalPurpose

• LORA1024CV1024dreamlikeDiffusion10_10 - LORA320dreamlikeDiffusion10_10

• LORA1024CV1024epicDiffusion11 - LORA320epicDiffusion11

• LORA1024CV1024protogenInfinityX86 - LORA320protogenInfinityX86

• LORA1024CV1024protogenNovaExperimentalX80 - LORA320protogenNovaExperimentalX80

• LORA1024CV1024protogenX58RebuiltScifi - LORA320protogenX58RebuiltScifi

• LORA1024CV1024modernDisney_v1 - LORA320modernDisney_v1

• LORA1024CV1024revAnimated_v11 - LORA320revAnimated_v11

• LORA1024CV1024revAnimated_v122 - LORA320revAnimated_v122

• LORA1024CV1024dosmix - LORA320dosmix

• LORA1024CV1024icomixV03 - LORA320icomixV03

• LORA1024CV1024meinaV8 - LORA320meinaV8

• LORA1024CV1024comicBabes_v1 - LORA320comicBabes_v1

• LORA320CD128perfectWorld_v2Baked - LORA120CD128perfectWorld_v2Baked -LORA1024CD1024perfectWorld_v2Baked

• LORA14DM320realisticVisionV20_v20 - LORA14DM120realisticVisionV20_v20 - LORA1024CV1024dreamshaper_4NoVae

• LORADM320realisticVisionV13_v13 - LORADM120realisticVisionV13_v13

• LoRADM320dreamshaper_4NoVae - LoRADM120dreamshaper_4NoVae

• LORA14DM320grapefruitv41 -LORA14DM120grapefruitv41

• LORA1024CV1024berrygold11 - LORA14DM120BerryGold-1-1 - LORA14DM320BerryGold-1-1

• LORA14DM120chilloutmix_NiPrunedFp32Fix - LORA14DM320chilloutmix_NiPrunedFp32Fix - LORA1024CV1024chilloutmix_NiPrunedFp32Fix

• LORA14DM120deliberate_v2 - LORA14DM320deliberate_v2 - LORA1024CV1024deliberate_v2

• LORA14DM120HSPU-1.1 - LORA14DM320HSPU-1.1 - LORA1024CV1024hspu_11

• LORA14DM120HSPUCar1-1 - LORA14DM320HSPUCar1-1 - LORA1024CV1024hspuCarV10

• LORA14DM120Maiden - LORA14DM320Maiden - LORA1024CV1024maiden

• LORA1024CV1024yiffye18Furry4Kinky

• LORA14DM320protogenX53Photorealism_10 - LORA14DM120protogenX53Photorealism_10

• LORA14DM320anything-v4.5-vae-swapped - LORA14DM120anything-v4.5-vae-swapped - LORA1024CV1024anything-v4.5-vae-swapped

• LORA14DM320robo-diffusion-v1 - LORA14DM120robo-diffusion-v1 - LORA1024CV1024robo-diffusion-v1

• LORA14DM320Silicon29 - LORA14DM120Silicon29 - LORA1024CV1024Silicon29

描述:

base: perfectWorld_v2Baked

This show that greater DM and CM are not exponential or linear better in term of quality improvement while file size is.

1. First preview picture use DM 1024 + CD 1024 (best possible LoRA extraction but 1.9GB...).

2. Second preview picture use only DM 1024 (CD 1024 is ignore as i did not install the locon extensions, more about CD in description).

3. 04.02.22 - added DM-CV comparison extraction + all lora of the comparison in "Training Images"

训练词语: