Models

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[Community] LoRA extract

Apocalypse Selfie, beautiful gorgeous 8k photo, female, pale Metallic Sunburst hair, sitting at clock tower, very dark lighting, dreary, spooky, extreme wide angle lens, eerie, detailed, multi colored eyes, detailed face, (vibrant, photo realistic, realistic, dramatic, dark, sharp focus, 8k), Magician, pale Roman silver hair, Yellow Orange (Color Wheel) eyes, frills, detailed skin, perfect face, fashion photography, 20 megapixel, canon eos r3, crowded train, ((vibrant, 8k))<lora:LORA320hasdx_hasedsdx:1>
Apocalypse Selfie, beautiful gorgeous 8k photo, female, pale Metallic Sunburst hair, sitting at clock tower, very dark lighting, dreary, spooky, extreme wide angle lens, eerie, detailed, multi colored eyes, detailed face, (vibrant, photo realistic, realistic, dramatic, dark, sharp focus, 8k), Magician, pale Roman silver hair, Yellow Orange (Color Wheel) eyes, frills, detailed skin, perfect face, fashion photography, 20 megapixel, canon eos r3, crowded train, ((vibrant, 8k))<lora:LORA320hasdx_hasedsdx:1>
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Model Description by Creator

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:

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