FFAI ??? AnimAI Planet Demonstrations
A normal LyCORIS - algo: LoRA was used for the training.
? Models at a Glance:
1. General LyCORIS Training
? Highlights:
'algo': 'lora'? Specifications:
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Date: 2023-08-26T23:08:56
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Resolution: 1024x1024
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Architecture: stable-diffusion-xl-v1-base/lora
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Network Dim/Rank: 16.0
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Alpha: 64.0
2. Text Encoder LyCORIS
? Highlights:
TEXT ENCODER ONLY
'algo': 'lora'
? Specifications:
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Date: 2023-10-01T07:31:55
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Resolution: 1024x1024
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Architecture: stable-diffusion-xl-v1-base/lora
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Network Dim/Rank: 16.0
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Alpha: 32.0
3. General LyCORIS Training
? Highlights:
{'conv_dim': '32', 'conv_alpha': '64', 'algo': 'lora'}? Specifications:
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Date: 2023-10-02T08:37:35
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Resolution: 1024x1024
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Architecture: stable-diffusion-xl-v1-base/lora
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Network Dim/Rank: 32.0
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Alpha: 64.0
4. General LyCORIS Training
? Highlights:
{'conv_dim': '64', 'conv_alpha': '64', 'algo': 'lora'}? Specifications:
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Date: 2023-10-02T11:40:06
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Resolution: 1024x1024
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Architecture: stable-diffusion-xl-v1-base/lora
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Network Dim/Rank: 64.0
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Alpha: 64.0
1.AnimAl P FFusion.safetensors
Date: 2023-10-01T05:08:45 Title: AnimAl P FFusion
Resolution: 1024x1024 Architecture: stable-diffusion-xl-v1-base/lora
Network Dim/Rank: 16.0 Alpha: 64.0
Module: lycoris.kohya : {'conv_dim': '16', 'conv_alpha': '64', 'algo': 'lora'}
UNet weight average magnitude: 1.5612285654851892
UNet weight average strength: 0.00855100617083033
UNet Conv weight average magnitude: 2.3661269530966935
UNet Conv weight average strength: 0.005806554066645475
Text Encoder (1) weight average magnitude: 1.4098021807770307
Text Encoder (1) weight average strength: 0.009792171967200777
Text Encoder (2) weight average magnitude: 1.5160455204089474
Text Encoder (2) weight average strength: 0.008057038737473559
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2.AnimAl P FFusion (TX Encoder).safetensors
Date: 2023-10-01T07:31:55 Title: AnimAl P FFusion
Resolution: 1024x1024 Architecture: stable-diffusion-xl-v1-base/lora
Network Dim/Rank: 16.0 Alpha: 32.0
Module: lycoris.kohya : {'conv_dim': '16', 'conv_alpha': '32', 'algo': 'lora'}
Text Encoder (1) weight average magnitude: 2.5523402023430064
Text Encoder (1) weight average strength: 0.016584716454285692
Text Encoder (2) weight average magnitude: 3.2502294766067283
Text Encoder (2) weight average strength: 0.01608869545658079
No UNet found in this LoRA
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3.AnimAl P FFusion v2-ep2.safetensors
Date: 2023-10-02T08:37:35 Title: AnimAl P FFusion v2-ep2
Resolution: 1024x1024 Architecture: stable-diffusion-xl-v1-base/lora
Network Dim/Rank: 32.0 Alpha: 64.0
Module: lycoris.kohya : {'conv_dim': '32', 'conv_alpha': '64', 'algo': 'lora'}
UNet weight average magnitude: 2.0946387136587896
UNet weight average strength: 0.008093249212950576
UNet Conv weight average magnitude: 3.5111623881034153
UNet Conv weight average strength: 0.006158271377234372
Text Encoder (1) weight average magnitude: 1.9438021141701276
Text Encoder (1) weight average strength: 0.009529127702349835
Text Encoder (2) weight average magnitude: 2.0788744162733246
Text Encoder (2) weight average strength: 0.007869903389610624
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4.AnimAl P FFusion v2-ep2.4.safetensors
Date: 2023-10-02T11:40:06 Title: AnimAl P FFusion v2-ep2.4
Resolution: 1024x1024 Architecture: stable-diffusion-xl-v1-base/lora
Network Dim/Rank: 64.0 Alpha: 64.0
Module: lycoris.kohya : {'conv_dim': '64', 'conv_alpha': '64', 'algo': 'lora'}
UNet weight average magnitude: 3.58799512097297
UNet weight average strength: 0.00944065170718396
UNet Conv weight average magnitude: 7.605353630925971
UNet Conv weight average strength: 0.008435387484832527
Text Encoder (1) weight average magnitude: 3.167086568188093
Text Encoder (1) weight average strength: 0.01076880155542553
Text Encoder (2) weight average magnitude: 3.525044115169337
Text Encoder (2) weight average strength: 0.009155737913150608? Readme Crafted by: ? & FFusionAI ?
? Contact Information
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