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    FFusionAI LyCORIS XL - CivitAI Repository 🌠

    Welcome to the FFusionAI LyCORIS extracted models repository on Hugging Face & CivitAI! This collection showcases models extracted using quantile extraction mode, as proposed by the LyCORIS framework developed by KohakuBlueleaf

    🌌 About LyCORIS

    Developed by KohakuBlueleaf, LyCORIS (Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion) represents the cutting-edge in text-to-image model customization. Refer to the LyCORIS Paper for detailed insights.

    🧫 Research-Focused LyCORIS

    Please note that all FFusionAI extracted LyCORIS models are intended for research purposes only and are not licensed for commercial use. We encourage responsible and ethical use of these models to push the boundaries of AI-powered art creation.

    🏆 Top Model Highlights 🏆

    🌟 UNet Weight Average Magnitude Champion
    • 🥇 Model: FF.118.Sdxl.Anime.V31.LyCORIS

    • 🔥 Magnitude: 4.9267

    • 💬 Comment: Leading the pack with the highest UNet magnitude!

    🚀 UNet Conv Weight Average Magnitude Star
    • 🥇 Model: FF.118.Sdxl.Anime.V31.LyCORIS

    • 🔥 Magnitude: 7.5161

    • 💬 Comment: A standout performer in UNet Conv magnitude!

    📚 Text Encoder (1) Weight Average Magnitude Ace
    • 🥇 Model: FF.103.DynavisionXLAllInOneStylized.Release0557Bakedvae.LyCORIS

    • 🔥 Magnitude: 3.5875

    • 💬 Comment: Tops in Text Encoder (1) with unmatched magnitude!


    📈 Interesting Insights 📊

    • Highest Strength in UNet Conv: FF.124.GuchamixXL.V20.LyCORIS with a strength of 0.02023 🏋️

    • Most Balanced Model: FF.120.Sdvn6.Realxl.Detailface.LyCORIS, with closely matched magnitudes across all categories ⚖️

    • High Performer in UNet and UNet Conv: FF.118.Sdxl.Anime.V31.LyCORIS stands out in both UNet and UNet Conv categories 🌟


    📈 Model Superlatives 🌟

    • 💪 Strongest UNet Conv Strength: FF.124.GuchamixXL.V20.LyCORIS (0.02023)

    • ⚖️ Most Balanced Performer: FF.120.Sdvn6.Realxl.Detailface.LyCORIS

      • 🌈 Excelling in maintaining a balanced performance across categories.

    • 🌐 All-Rounder: FF.118.Sdxl.Anime.V31.LyCORIS

      • 🎯 Dominates in both UNet and UNet Conv categories.

    Current Models:

    1. FF.101.juggernautXL_version6Rundiffusion.LyCORIS

    2. FF.102.colossusProjectXLSFW_49bExperimental.LyCORIS

    3. FF.103.dynavisionXLAllInOneStylized_release0557Bakedvae.LyCORIS

    4. FF.104.nightvisionXLPhotorealisticPortrait_release0770Bakedvae.LyCORIS

    5. FF.105.duchaitenAiartSDXL_v20.LyCORIS

    6. FF.106.protovisionXLHighFidelity3D_release0630Bakedvae.LyCORIS

    7. FF.108dynavisionXLAllInOneStylized_release0534bakedvae.LyCORIS

    8. FF.109dreamshaperXL10_alpha2Xl10.LyCORIS

    9. FF.110bluePencilXL_v080.LyCORIS

    10. FF.111bbbSDXL_bbbBetaV2.LyCORIS

    11. FF.112xxmix9realisticsdxl_v10.LyCORIS

    12. FF.113wowXL_v10.LyCORIS

    13. FF.114starlightXLAnimated_v3.LyCORIS

    14. FF.115sdxlYamersCartoonArcadia_v2.LyCORIS

    15. FF.116sdxlUnstableDiffusers_v8HEAVENSWRATH.LyCORIS

    16. FF.117sdxlNijiSpecial_sdxlNijiSE.LyCORIS

    17. FF.118sdxlAnime_v31.LyCORIS

    18. FF.119sdvn7Nijistylexl_v1.LyCORIS

    19. FF.120sdvn6Realxl_detailface.LyCORIS

    20. FF.121samaritan3dCartoon_v40SDXL.LyCORIS

    21. FF.122RealitiesEdgeXL_5.LyCORIS

    22. FF.123LahMysteriousSDXL_v40.LyCORIS

    23. FF.124guchamixXL_v20.LyCORIS

    24. FF.127fantasyStyleBailing_v1007.LyCORIS

    Top 5 Models - UNet Weight Average Magnitude

    Chart
    • FF.118: ########### (4.93) 🏆

    • FF.127: ########## (4.51)

    • FF.105: ########## (4.49)

    • FF.123: ########## (4.49)

    • FF.120: ######### (4.47)

    Top 5 Models - UNet Conv Weight Average Magnitude

    Chart
    • FF.118: ############### (7.52) 🏆

    • FF.121: ############# (6.87)

    • FF.127: ############# (6.79)

    • FF.106: ############# (6.58)

    • FF.117: ############# (6.58)

    Top 5 Models - Text Encoder (1) Weight Average Magnitude

    Chart
    • FF.103: ####### (3.59) 🏆

    • FF.110: ####### (3.53)

    • FF.116: ####### (3.54)

    • FF.105: ####### (3.55)

    • FF.111: ####### (3.55)

    🧪 FFusion's Universe of 🧪 Customized LyCORIS Extractions

    LyCORIS, standing for "Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion," offers a new dimension of text-to-image customization. The models here are extracted with a focus on fine-tuning and model evaluation, leveraging techniques such as quantile mode with linear & conv quantile not exceeding 0.2. These extracted models are not direct copies; they encapsulate the essence of the original model, adding a unique twist.

    🔍 LyCORIS Extraction Process

    The extraction process for LyCORIS focuses on two key parameters: linear quantile and convolutional quantile. Here’s a detailed breakdown:

    • Linear Quantile (--linear_quantile):

      • Purpose: Controls the singular value quantile for linear layers in quantile mode.

      • Setting: Maximum threshold set at 0.2, meaning only singular values up to the 20th percentile are considered.

      • Impact: Ensures a controlled adaptation from the base model, maintaining subtlety and effectiveness.

    • Convolutional Quantile (--conv_quantile):

      • Purpose: Sets the singular value quantile for convolutional layers.

      • Setting: Also capped at a maximum of 0.2, aligning with the linear quantile approach.

      • Impact: Balances the extraction process, ensuring consistency across different types of layers.

    🚫 Policy on Extraction Requests and Algorithm Formats

    FFusionAI adheres to specific guidelines regarding extraction requests and the use of different algorithm formats.

    1. FF.101.JuggernautXL.Version6Rundiffusion.LyCORIS
    UNet Weight Average Magnitude: 4.4698
    UNet Weight Average Strength: 0.01224
    UNet Conv Weight Average Magnitude: 6.5546
    UNet Conv Weight Average Strength: 0.01780
    Text Encoder (1) Weight Average Magnitude: 3.5219
    Text Encoder (1) Weight Average Strength: 0.01249
    2. FF.102.ColossusProjectXLSFW.49bExperimental.LyCORIS
    UNet Weight Average Magnitude: 4.3637
    UNet Weight Average Strength: 0.01226
    UNet Conv Weight Average Magnitude: 6.5158
    UNet Conv Weight Average Strength: 0.01751
    Text Encoder (1) Weight Average Magnitude: 3.3391
    Text Encoder (1) Weight Average Strength: 0.01189
    3. FF.103.DynavisionXLAllInOneStylized.Release0557Bakedvae.LyCORIS
    UNet Weight Average Magnitude: 4.3940
    UNet Weight Average Strength: 0.01285
    UNet Conv Weight Average Magnitude: 6.4482
    UNet Conv Weight Average Strength: 0.01815
    Text Encoder (1) Weight Average Magnitude: 3.5875
    Text Encoder (1) Weight Average Strength: 0.01270
    4. FF.104.NightvisionXLPhotorealisticPortrait.Release0770Bakedvae.LyCORIS
    UNet Weight Average Magnitude: 4.4280
    UNet Weight Average Strength: 0.01254
    UNet Conv Weight Average Magnitude: 6.5582
    UNet Conv Weight Average Strength: 0.01785
    Text Encoder (1) Weight Average Magnitude: 3.4918
    Text Encoder (1) Weight Average Strength: 0.01286
    5. FF.105.DuchaitenAiartSDXL.V20.LyCORIS
    UNet Weight Average Magnitude: 4.4919
    UNet Weight Average Strength: 0.01255
    UNet Conv Weight Average Magnitude: 6.7314
    UNet Conv Weight Average Strength: 0.01774
    Text Encoder (1) Weight Average Magnitude: 3.5542
    Text Encoder (1) Weight Average Strength: 0.01258
    6. FF.106.ProtovisionXL.HighFidelity3D.Release0630Bakedvae.LyCORIS
    UNet Weight Average Magnitude: 4.4116
    UNet Weight Average Strength: 0.01273
    UNet Conv Weight Average Magnitude: 6.5832
    UNet Conv Weight Average Strength: 0.01780
    Text Encoder (1) Weight Average Magnitude: 3.4893
    Text Encoder (1) Weight Average Strength: 0.01294
    7. FF.108.DynavisionXL.AllInOneStylized.Release0534bakedvae.LyCORIS
    UNet Weight Average Magnitude: 4.4738
    UNet Weight Average Strength: 0.01247
    UNet Conv Weight Average Magnitude: 6.6756
    UNet Conv Weight Average Strength: 0.01775
    Text Encoder (1) Weight Average Magnitude: 3.5080
    Text Encoder (1) Weight Average Strength: 0.01266
    8. FF.109.DreamshaperXL.10.Alpha2Xl10.LyCORIS
    UNet Weight Average Magnitude: 4.4392
    UNet Weight Average Strength: 0.01254
    UNet Conv Weight Average Magnitude: 6.5779
    UNet Conv Weight Average Strength: 0.01777
    Text Encoder (1) Weight Average Magnitude: 3.5054
    Text Encoder (1) Weight Average Strength: 0.01236
    9. FF.110.BluePencilXL.V080.LyCORIS
    UNet Weight Average Magnitude: 4.4079
    UNet Weight Average Strength: 0.01273
    UNet Conv Weight Average Magnitude: 6.5201
    UNet Conv Weight Average Strength: 0.01802
    Text Encoder (1) Weight Average Magnitude: 3.5337
    Text Encoder (1) Weight Average Strength: 0.01324
    10. FF.111.BbbSDXL.BbbBetaV2.LyCORIS
    UNet Weight Average Magnitude: 4.3858
    UNet Weight Average Strength: 0.01273
    UNet Conv Weight Average Magnitude: 6.5305
    UNet Conv Weight Average Strength: 0.01789
    Text Encoder (1) Weight Average Magnitude: 3.5485
    Text Encoder (1) Weight Average Strength: 0.01244
    11. FF.112.Xxmix9.Realistic.Sdxl.V10.LyCORIS
    UNet Weight Average Magnitude: 4.2945
    UNet Weight Average Strength: 0.01352
    UNet Conv Weight Average Magnitude: 6.5377
    UNet Conv Weight Average Strength: 0.01779
    Text Encoder (1) Weight Average Magnitude: 3.4780
    Text Encoder (1) Weight Average Strength: 0.01311
    12. FF.113.WowXL.V10.LyCORIS
    UNet Weight Average Magnitude: 4.4400
    UNet Weight Average Strength: 0.01243
    UNet Conv Weight Average Magnitude: 6.5624
    UNet Conv Weight Average Strength: 0.01787
    Text Encoder (1) Weight Average Magnitude: 3.5260
    Text Encoder (1) Weight Average Strength: 0.01259
    13. FF.114.StarlightXL.Animated.V3.LyCORIS
    UNet Weight Average Magnitude: 4.3787
    UNet Weight Average Strength: 0.01278
    UNet Conv Weight Average Magnitude: 6.5010
    UNet Conv Weight Average Strength: 0.01788
    Text Encoder (1) Weight Average Magnitude: 3.5063
    Text Encoder (1) Weight Average Strength: 0.01257
    14. FF.115.Sdxl.Yamers.Cartoon.Arcadia.V2.LyCORIS
    UNet Weight Average Magnitude: 4.3740
    UNet Weight Average Strength: 0.01235
    UNet Conv Weight Average Magnitude: 6.5276
    UNet Conv Weight Average Strength: 0.01787
    Text Encoder (1) Weight Average Magnitude: 3.5094
    Text Encoder (1) Weight Average Strength: 0.01239
    15. FF.116.Sdxl.Unstable.Diffusers.V8.HeavensWrath.LyCORIS
    UNet Weight Average Magnitude: 4.3866
    UNet Weight Average Strength: 0.01239
    UNet Conv Weight Average Magnitude: 6.5490
    UNet Conv Weight Average Strength: 0.01778
    Text Encoder (1) Weight Average Magnitude: 3.5354
    Text Encoder (1) Weight Average Strength: 0.01238
    16. FF.117.Sdxl.Niji.Special.Sdxl.NijiSE.LyCORIS
    UNet Weight Average Magnitude: 4.4737
    UNet Weight Average Strength: 0.01221
    UNet Conv Weight Average Magnitude: 6.5781
    UNet Conv Weight Average Strength: 0.01777
    Text Encoder (1) Weight Average Magnitude: 3.5071
    Text Encoder (1) Weight Average Strength: 0.01236
    17. FF.118.Sdxl.Anime.V31.LyCORIS
    UNet Weight Average Magnitude: 4.9267
    UNet Weight Average Strength: 0.01515
    UNet Conv Weight Average Magnitude: 7.5161
    UNet Conv Weight Average Strength: 0.01696
    Text Encoder (1) Weight Average Magnitude: 3.5106
    Text Encoder (1) Weight Average Strength: 0.01236
    18. FF.119.Sdvn7.Nijistylexl.V1.LyCORIS
    UNet Weight Average Magnitude: 4.4627
    UNet Weight Average Strength: 0.01241
    UNet Conv Weight Average Magnitude: 6.5621
    UNet Conv Weight Average Strength: 0.01778
    Text Encoder (1) Weight Average Magnitude: 3.5169
    Text Encoder (1) Weight Average Strength: 0.01240
    19. FF.120.Sdvn6.Realxl.Detailface.LyCORIS
    UNet Weight Average Magnitude: 4.4728
    UNet Weight Average Strength: 0.01220
    UNet Conv Weight Average Magnitude: 6.5779
    UNet Conv Weight Average Strength: 0.01775
    Text Encoder (1) Weight Average Magnitude: 3.5054
    Text Encoder (1) Weight Average Strength: 0.01236
    20. FF.121.Samaritan3d.Cartoon.V40SDXL.LyCORIS
    UNet Weight Average Magnitude: 4.5336
    UNet Weight Average Strength: 0.01255
    UNet Conv Weight Average Magnitude: 6.8741
    UNet Conv Weight Average Strength: 0.01782
    Text Encoder (1) Weight Average Magnitude: 3.5074
    Text Encoder (1) Weight Average Strength: 0.01236
    21. FF.122.RealitiesEdgeXL.5.LyCORIS
    UNet Weight Average Magnitude: 4.3591
    UNet Weight Average Strength: 0.01286
    UNet Conv Weight Average Magnitude: 6.3116
    UNet Conv Weight Average Strength: 0.01835
    Text Encoder (1) Weight Average Magnitude: 3.5195
    Text Encoder (1) Weight Average Strength: 0.01267
    22. FF.123.LahMysteriousSDXL.V40.LyCORIS
    UNet Weight Average Magnitude: 4.4911
    UNet Weight Average Strength: 0.01236
    UNet Conv Weight Average Magnitude: 6.6664
    UNet Conv Weight Average Strength: 0.01778
    Text Encoder (1) Weight Average Magnitude: 3.5054
    Text Encoder (1) Weight Average Strength: 0.01236
    23. FF.124.GuchamixXL.V20.LyCORIS
    UNet Weight Average Magnitude: 4.3563
    UNet Weight Average Strength: 0.01375
    UNet Conv Weight Average Magnitude: 5.6046
    UNet Conv Weight Average Strength: 0.02023
    Text Encoder (1) Weight Average Magnitude: 3.5105
    Text Encoder (1) Weight Average Strength: 0.01236
    24. FF.127.FantasyStyleBailing.V1007.LyCORIS
    UNet Weight Average Magnitude: 4.5056
    UNet Weight Average Strength: 0.01246
    UNet Conv Weight Average Magnitude: 6.7862
    UNet Conv Weight Average Strength: 0.01772
    Text Encoder (1) Weight Average Magnitude: 3.5054
    Text Encoder (1) Weight Average Strength: 0.01236
    


    WE won't accept requests for:

    • Higher Quantile Values:

      • 📉 Policy: Quantile values for extractions are capped at 0.2.

      • 🛑 Reason: To preserve the base model's essence and stability.

    • No Extraction of Other People's Work:

      • ⚠️ Policy: Prohibits extracting models or works created by others.

      • 📜 Reason: To respect intellectual property and prevent unauthorized use.

    • No Adaptation to Different Algorithm Formats:

      • Policy: We do not accept requests to adapt or convert models to other formats without the proper approval of the weights' owner.

    These structured guidelines are crucial for maintaining the quality, legality, and ethical standards of the LyCORIS repository, fostering responsible and effective use.

    ⚠️ License & Usage Disclaimers

    Before accessing or using the models, please review the full license agreement.

    The correct license and permissions can be found at:

    "Model Weights: The weights for the LyCORIS models are provided "as is." FFusion AI and Source Code Bulgaria do not grant any rights for their commercial use. These weights are strictly for testing and experimental purposes.

    ORIGIN OF LYCORIS:

    The LyCORIS models and weights provided are extracted based on the FFusion/FFusionXL-BASE model. All licenses, terms, and conditions set by the original creators must be adhered to."

    🔴 Repository Policies

    • Research and Testing Focus: The models and weights available in this repository are strictly for research and testing purposes. They are not generally intended for commercial use and are subject to the conditions of each individual LyCORIS extraction.

    • Content Disclaimer: FFusion AI, Source Code Bulgaria Ltd, and BlackswanTechnologies do not endorse or guarantee the content produced by the weights in each LyCORIS model. There's potential for generating NSFW or offensive content. Collectively, we expressly disclaim responsibility for the outcomes and content produced by these weights.

    • Model Acknowledgement: The FFusionXL-BASE model is a unique development by FFusion AI. Rights to this and associated modifications belong to FFusion AI and Source Code Bulgaria Ltd. Users must adhere to both this license and any conditions set by Stability AI Ltd for referenced models.

    📚 Citation and Acknowledgement

    Usage Disclaimers:

    • For Non-Commercial Use: Models are primarily for research and experimental use.

    • Content Disclaimer: Potential for NSFW or offensive content generation.

    @misc{LyCORIS,
          title={Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation}, 
          author={Shin-Ying Yeh and Yu-Guan Hsieh and Zhidong Gao and Bernard B W Yang and Giyeong Oh and Yanmin Gong},
          year={2023},
          eprint={2309.14859},
          archivePrefix={arXiv}
    }


    🌐 FFusion.ai Contact Information

    Proudly maintained by Source Code Bulgaria Ltd & Black Swan Technologies.

    • 📧 For collaborations, inquiries, or support: [email protected]

    • 🌍 Locations: Sofia | Istanbul | London

    Connect with Us:

    Our Websites:

    FAQ

    Comments (4)

    HollowMewtwoDec 1, 2023
    CivitAI

    Should I just use these Lycoris instead of the Loras that you made before?

    NoMansLandJan 19, 2024
    CivitAI

    Will you be uploading the other models beyond FF.114starlightXLAnimated_v3.LyCORIS?

    xueqing12211Jun 15, 2024
    CivitAI

    Do you extract LyCORIS from kohya_ss, can you give move detailed about LyCORIS Extraction Process. If get a screenshot is best!

    3193681Nov 16, 2024
    CivitAI

    If I load FF.109dreamshaperXL10_alpha2Xl10.LyCORIS.safetensors in diffusers, sha256 281e685b08e3bc6efc1de2018409d1847ec355d0090834ba62ccd1272d6ace4f, there is a warning message:

    The following keys have not been correctly renamed:

    lora_unet_input_blocks_0_resnets_0_in_layers_2.lora_mid.weight, lora_unet_input_blocks_0_resnets_0_out_layers_3.lora_mid.weight, lora_unet_input_blocks_0_resnets_1_in_layers_2.lora_mid.weight, lora_unet_input_blocks_0_resnets_1_out_layers_3.lora_mid.weight, lora_unet_input_blocks_0_downsamplers_0_op.lora_mid.weight, lora_unet_input_blocks_1_resnets_0_in_layers_2.lora_mid.weight, lora_unet_input_blocks_1_resnets_0_out_layers_3.lora_mid.weight, lora_unet_input_blocks_1_resnets_1_in_layers_2.lora_mid.weight, lora_unet_input_blocks_1_resnets_1_out_layers_3.lora_mid.weight, lora_unet_input_blocks_1_downsamplers_0_op.lora_mid.weight, lora_unet_input_blocks_2_resnets_0_in_layers_2.lora_mid.weight, lora_unet_input_blocks_2_resnets_0_out_layers_3.lora_mid.weight, lora_unet_input_blocks_2_resnets_1_in_layers_2.lora_mid.weight, lora_unet_input_blocks_2_resnets_1_out_layers_3.lora_mid.weight, lora_unet_middle_block_resnets_0_in_layers_2.lora_mid.weight, lora_unet_middle_block_resnets_0_out_layers_3.lora_mid.weight, lora_unet_middle_block_resnets_1_in_layers_2.lora_mid.weight, lora_unet_middle_block_resnets_1_out_layers_3.lora_mid.weight, lora_unet_output_blocks_0_resnets_0_in_layers_2.lora_mid.weight, lora_unet_output_blocks_0_resnets_0_out_layers_3.lora_mid.weight, lora_unet_output_blocks_0_resnets_1_in_layers_2.lora_mid.weight, lora_unet_output_blocks_0_resnets_1_out_layers_3.lora_mid.weight, lora_unet_output_blocks_0_resnets_2_in_layers_2.lora_mid.weight, lora_unet_output_blocks_0_resnets_2_out_layers_3.lora_mid.weight, lora_unet_output_blocks_0_upsamplers_0_conv.lora_mid.weight, lora_unet_output_blocks_1_resnets_0_in_layers_2.lora_mid.weight, lora_unet_output_blocks_1_resnets_0_out_layers_3.lora_mid.weight, lora_unet_output_blocks_1_resnets_1_in_layers_2.lora_mid.weight, lora_unet_output_blocks_1_resnets_1_out_layers_3.lora_mid.weight, lora_unet_output_blocks_1_resnets_2_in_layers_2.lora_mid.weight, lora_unet_output_blocks_1_resnets_2_out_layers_3.lora_mid.weight, lora_unet_output_blocks_1_upsamplers_0_conv.lora_mid.weight, lora_unet_output_blocks_2_resnets_0_in_layers_2.lora_mid.weight, lora_unet_output_blocks_2_resnets_0_out_layers_3.lora_mid.weight, lora_unet_output_blocks_2_resnets_1_in_layers_2.lora_mid.weight, lora_unet_output_blocks_2_resnets_1_out_layers_3.lora_mid.weight, lora_unet_output_blocks_2_resnets_2_in_layers_2.lora_mid.weight, lora_unet_output_blocks_2_resnets_2_out_layers_3.lora_mid.weight

    LoCon
    SDXL 1.0
    by idle

    Details

    Downloads
    133
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/19/2023
    Updated
    8/26/2026
    Deleted
    -
    Trigger Words:
    xxmixgirl

    Files

    FF.112xxmix9realisticsdxl_v10.LyCORIS.safetensors

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.