FFusion - AnimAI Planet XL

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:

• Date: 2023-08-26T23:08:56

• Resolution: 1024x1024

• Architecture: stable-diffusion-xl-v1-base/lora

• Network Dim/Rank: 16.0

• Alpha: 64.0

2. Text Encoder LyCORIS

📌 Highlights:

TEXT ENCODER ONLY
'algo': 'lora'

📊 Specifications:

• Date: 2023-10-01T07:31:55

• Resolution: 1024x1024

• Architecture: stable-diffusion-xl-v1-base/lora

• Network Dim/Rank: 16.0

• Alpha: 32.0

3. General LyCORIS Training

📌 Highlights:

{'conv_dim': '32', 'conv_alpha': '64', 'algo': 'lora'}

📊 Specifications:

• Date: 2023-10-02T08:37:35

• Resolution: 1024x1024

• Architecture: stable-diffusion-xl-v1-base/lora

• Network Dim/Rank: 32.0

• Alpha: 64.0

4. General LyCORIS Training

📌 Highlights:

{'conv_dim': '64', 'conv_alpha': '64', 'algo': 'lora'}

📊 Specifications:

• Date: 2023-10-02T11:40:06

• Resolution: 1024x1024

• Architecture: stable-diffusion-xl-v1-base/lora

• Network Dim/Rank: 64.0

• 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

----------------------


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

----------------------



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

----------------------
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

The FFusion.ai project is proudly maintained by Source Code Bulgaria Ltd & Black Swan Technologies.

📧 Reach us at [email protected] for any inquiries or support.

🌌 Find us on:

• 🐙 GitHub

• 😊 Hugging Face

• 💡 Civitai

🌍 Sofia Istanbul London