⚠️ License & Usage Disclaimers
Please review the full license agreement before accessing or using the models.
The correct license and permissions can be found at:
https://huggingface.co/FFusion/FFXL400/blob/main/LICENSE.md
"Model Weights: The weights used for the models/loras 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 LORAS:
The LORAs and weights provided are extracted from SDXL models (checkpoints).
All licenses, terms, and conditions set forth by the original checkpoint creator must be respected and adhered to."❤️ Acknowledgments to Model Creators
We utilized the following checkpoints in the creation of this merged model:
UPDATE: Checkpoint Version 2.0pre
EXTRACTED Weights (as LoRA's) from:
Model.0003.4Guofeng4xl_V1125d
Model.0004.Ambiencesdxl_A1
Model.0006.Angrasdxl10_V22
Model.0007.Animaginexl_V10
Model.0008.Animeartdiffusionxl_Alpha3
Model.0009.Astreapixiexlanime_V16
Model.0010.Bluepencilxl_V010
Model.0011.Bluepencilxl_V021
Model.0012.Breakdomainxl_V03d
Model.0013.Canvasxl_Bfloat16v002
Model.0014.Cherrypickerxl_V20
Model.0015.Copaxtimelessxlsdxl1_V44
Model.0016.Counterfeitxl-Ffusionai-Alpha-Vae
Model.0017.Counterfeitxl_V10
Model.0018.Crystalclearxl_Ccxl
Model.0019.Deepbluexl_V006
Model.0020.Dream-Ffusion-Shaper
Model.0021.Dreamshaperxl10_Alpha2xl10
Model.0022.Duchaitenaiartsdxl_V10
Model.0023.Dynavisionxlallinonestylized_Beta0371bakedvae
Model.0024.Dynavisionxlallinonestylized_Beta0411bakedvae
Model.0025.Fantasticcharacters_V55
Model.0026.Fenrisxl_V55
Model.0027.Fudukimix_V10
Model.0028.Infinianimexl_V16
Model.0029.Juggernautxl_Version1.lora_1.safetensors
Model.0030.Lahmysterioussdxl_V330
Model.0031.Mbbxlultimate_V10rc
Model.0032.Miamodelsfwnsfwsdxl_V30
Model.0033.Morphxl_V10
Model.0034.Nightvisionxlphotorealisticportrait_Beta0681bakedvae.lora_1.safetensors
Model.0035.Osorubeshialphaxl_Z
Model.0036.Physiogenxl_V04
Model.0037.Protovisionxlhighfidelity3d_Beta0520bakedvae
Model.0038.Realitycheckxl_Alpha11
Model.0039.Realmixxl_V10
Model.0040.Reproductionsdxl_V31
Model.0041.Rundiffusionxl_Beta
Model.0042.Samaritan3dcartoon_V40sdxl
Model.0043.Sdvn6realxl_Detailface
Model.0044.Sdvn7realartxl_Beta2
Model.0045.Sdxl10arienmixxlasian_V10
Model.0046.Sdxlbasensfwfaces_Sdxlnsfwfaces03
Model.0047.Sdxlfaetastic_V10
Model.0048.Sdxlfixedvaefp16remove_Basefxiedvaev2fp16
Model.0049.Sdxlnijiv4_Sdxlnijiv4
Model.0050.Sdxlronghua_V11
Model.0051.Sdxlunstablediffusers_V5unchainedslayer
Model.0052.Sdxlyamersanimeultra_Yamersanimev2
Model.0053.Shikianimexl_V10
Model.0054.Spectrumblendx_V10
Model.0055.Stablediffusionxl_V30
Model.0056.Talmendoxlsdxl_V11beta
Model.0057.Wizard_V10
Model.0058.Wyvernmix15xl_Xlv11
Model.0059.Xl13asmodeussfwnsfw_V17bakedvae
Model.0060.Xl3experimentalsd10xl_V10
Model.0061.Xl6hephaistossd10xlsfw_V21bakedvaefp16fix
Model.0062.Xlperfectdesign_V2ultimateartwork
Model.0063.Xlyamersrealistic_V3
Model.0064.Xxmix9realisticsdxl_Testv20
Model.0065.Zavychromaxl_B2
Model.0066.hassakuSfwNsfwAlphav_alphaV02
Model.0067.galaxytimemachinesGTM_xlplusV10
Model.0068.furtasticxl_BetaEPOCHS3
Model.0069.formulaxlXLComfyui_v20Pruned
Model.0070.FinalAnimeCG_mk2a2
Model.0071.explicitFreedomNSFW_beta
Model.0072.endjourneyXL_v11
Model.0073.dreamshaperXL10_alpha2Xl10
Model.0074.copaxTimelessxlSDXL1_v5
Model.0075.cinemaxAlphaSDXLCinema_alpha1
Model.0076.brixlAMustInYour_v20Banu
Model.0077.animeChangefulXL_v10ReleasedCandidate
Model.0078.xlYamersCartoonArcadia_v1
Model.0079.venusxl_v11
Model.0080.unsafexl_v20
Model.0081.sdxlYamersRealism_version2
Model.0082.sdxlUnstableDiffusers_v6StabilityEater
Model.0083.sdxlNuclearGeneralPurposeSemi_v10
Model.0084.sdvn6Realxl_detailface
Model.0085.samaritan3dCartoon_v40SDXL
Model.0086.realvisxlV10_v10VAE
Model.0087.RealitiesEdgeXLANIME_20
Model.0088.RealitiesEdgeXL_30
Model.0089.realisticStockPhoto_v10
Model.0090.realisticFreedomSFW_alpha
Model.0091.realcartoonXL_v2
Model.0092.pyrosSDModelsBlowjob_v0122022steps
Model.0093.pyrosNSFWSDXL_v013e6
Model.0094.nightvisionXLPhotorealisticPortrait_v0743ReleaseBakedvae
Model.0095.newone_v10
Model.0096.MOHAWK_v10BETA
Model.0097.juggernautXL_version4
Model.0098.sdxlYamersRealism_version2🔴 The models and weights available in this repository are strictly for research and testing purposes, with exceptions noted below. They are not generally intended for commercial use and are dependent on each individual LORA.
🔵 Exception for Commercial Use: The FFusionXL-BASE, FFusion-BaSE, di.FFUSION.ai-v2.1-768-BaSE-alpha, and di.ffusion.ai.Beta512 models are trained by FFusion AI using images for which we hold licenses. Users are advised to primarily use these models for a safer experience. These particular models are allowed for commercial use.
🔴 Disclaimer: FFusion AI, in conjunction with Source Code Bulgaria Ltd and BlackswanTechnologies, does not endorse or guarantee the content produced by the weights in each LORA. There's potential for generating NSFW or offensive content. Collectively, we expressly disclaim responsibility for the outcomes and content produced by these weights.
🔴 Acknowledgement: The FFusionXL-BASE model model is a uniquely developed version by FFusion AI. Rights to this and associated modifications belong to FFusion AI and Source Code Bulgaria Ltd. Ensure adherence to both this license and any conditions set by Stability AI Ltd for referenced models.
FFXL400(GB) Combined LoRA Model 🚀
Welcome to the FFXL400 combined LoRA model repository on Hugging Face! This model is a culmination of extensive research, bringing together the finest LoRAs from the 400GB-LoraXL repository. Our vision was to harness the power of multiple LoRAs, meticulously analyzing and integrating a select fraction of the blocks from each.
📦 Model Highlights
Innovative Combination: This model is a strategic integration of LoRAs, maximizing the potential of each while creating a unified powerhouse.
Versatility: The model is available in various formats including diffusers, safetensors (both fp 16 and 32), and an optimized ONNIX FP16 version for DirectML, ensuring compatibility across AMD, Intel, Nvidia, and more.
Advanced Research: Leveraging the latest in machine learning research, the model represents a state-of-the-art amalgamation of LoRAs, optimized for performance and accuracy.
🔍 Technical Insights
This model is a testament to the advancements in the field of AI and machine learning. It was crafted with precision, ensuring that:
Only a small percentage of the blocks from the original LoRAs (UNet and text encoders) were utilized.
The model is primed not just for inference but also for further training and refinement.
It serves as a benchmark for testing and understanding the cumulative impact of multiple LoRAs when used in concert.
🎨 Usage
The FFXL400 model is designed for a multitude of applications. Whether you're delving into research, embarking on a new project, or simply experimenting, this model serves as a robust foundation. Use it to:
Investigate the cumulative effects of merging multiple LoRAs.
Dive deep into weighting experiments with multiple LoRAs.
Explore the nuances and intricacies of integrated LoRAs.
📈 How to Use
The model can be easily integrated into your projects. Here's a quick guide on how to use the FFXL400 model:
Loading the Model:
from transformers import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("FFusion/FFXL400") model = AutoModel.from_pretrained("FFusion/FFXL400")Performing Inference:
input_text = "Your input here" inputs = tokenizer(input_text, return_tensors='pt') with torch.no_grad(): outputs = model(**inputs)
Further Training
You can also use the FFXL400 as a starting point for further training. Simply load it into your training pipeline and proceed as you would with any other model.
📚 Background
The FFXL400 is built upon the insights and data from the 400GB-LoraXL repository. Each LoRA in that collection was extracted using the Low-Rank Adaptation (LoRA) technique, providing a rich dataset for research and exploration. The FFXL400 is the pinnacle of that research, representing a harmonious blend of the best LoRAs.
Library of Available LoRA Models 📚
You can choose any of the models from our repository on Hugging Face or the upcoming repository on CivitAI. Here's a list of available models with lora_model_id = "FFusion/400GB-LoraXL":
lora_filename =
- FFai.0001.4Guofeng4xl_V1125d.lora_Dim64.safetensors
- FFai.0002.4Guofeng4xl_V1125d.lora_Dim8.safetensors
- FFai.0003.4Guofeng4xl_V1125d.loraa.safetensors
- FFai.0004.Ambiencesdxl_A1.lora.safetensors
- FFai.0005.Ambiencesdxl_A1.lora_8.safetensors
- FFai.0006.Angrasdxl10_V22.lora.safetensors
- FFai.0007.Animaginexl_V10.lora.safetensors
- FFai.0008.Animeartdiffusionxl_Alpha3.lora.safetensors
- FFai.0009.Astreapixiexlanime_V16.lora.safetensors
- FFai.0010.Bluepencilxl_V010.lora.safetensors
- FFai.0011.Bluepencilxl_V021.lora.safetensors
- FFai.0012.Breakdomainxl_V03d.lora.safetensors
- FFai.0013.Canvasxl_Bfloat16v002.lora.safetensors
- FFai.0014.Cherrypickerxl_V20.lora.safetensors
- FFai.0015.Copaxtimelessxlsdxl1_V44.lora.safetensors
- FFai.0016.Counterfeitxl-Ffusionai-Alpha-Vae.lora.safetensors
- FFai.0017.Counterfeitxl_V10.lora.safetensors
- FFai.0018.Crystalclearxl_Ccxl.lora.safetensors
- FFai.0019.Deepbluexl_V006.lora.safetensors
- FFai.0020.Dream-Ffusion-Shaper.lora.safetensors
- FFai.0021.Dreamshaperxl10_Alpha2xl10.lora.safetensors
- FFai.0022.Duchaitenaiartsdxl_V10.lora.safetensors
- FFai.0023.Dynavisionxlallinonestylized_Beta0371bakedvae.lora.safetensors
- FFai.0024.Dynavisionxlallinonestylized_Beta0411bakedvae.lora.safetensors
- FFai.0025.Fantasticcharacters_V55.lora.safetensors
- FFai.0026.Fenrisxl_V55.lora.safetensors
- FFai.0027.Fudukimix_V10.lora.safetensors
- FFai.0028.Infinianimexl_V16.lora.safetensors
- FFai.0029.Juggernautxl_Version1.lora_1.safetensors
- FFai.0030.Lahmysterioussdxl_V330.lora.safetensors
- FFai.0031.Mbbxlultimate_V10rc.lora.safetensors
- FFai.0032.Miamodelsfwnsfwsdxl_V30.lora.safetensors
- FFai.0033.Morphxl_V10.lora.safetensors
- FFai.0034.Nightvisionxlphotorealisticportrait_Beta0681bakedvae.lora_1.safetensors
- FFai.0035.Osorubeshialphaxl_Z.lora.safetensors
- FFai.0036.Physiogenxl_V04.lora.safetensors
- FFai.0037.Protovisionxlhighfidelity3d_Beta0520bakedvae.lora.safetensors
- FFai.0038.Realitycheckxl_Alpha11.lora.safetensors
- FFai.0039.Realmixxl_V10.lora.safetensors
- FFai.0040.Reproductionsdxl_V31.lora.safetensors
- FFai.0041.Rundiffusionxl_Beta.lora.safetensors
- FFai.0042.Samaritan3dcartoon_V40sdxl.lora.safetensors
- FFai.0043.Sdvn6realxl_Detailface.lora.safetensors
- FFai.0044.Sdvn7realartxl_Beta2.lora.safetensors
- FFai.0045.Sdxl10arienmixxlasian_V10.lora.safetensors
- FFai.0046.Sdxlbasensfwfaces_Sdxlnsfwfaces03.lora.safetensors
- FFai.0047.Sdxlfaetastic_V10.lora.safetensors
- FFai.0048.Sdxlfixedvaefp16remove_Basefxiedvaev2fp16.lora.safetensors
- FFai.0049.Sdxlnijiv4_Sdxlnijiv4.lora.safetensors
- FFai.0050.Sdxlronghua_V11.lora.safetensors
- FFai.0051.Sdxlunstablediffusers_V5unchainedslayer.lora.safetensors
- FFai.0052.Sdxlyamersanimeultra_Yamersanimev2.lora.safetensors
- FFai.0053.Shikianimexl_V10.lora.safetensors
- FFai.0054.Spectrumblendx_V10.lora.safetensors
- FFai.0055.Stablediffusionxl_V30.lora.safetensors
- FFai.0056.Talmendoxlsdxl_V11beta.lora.safetensors
- FFai.0057.Wizard_V10.lora.safetensors
- FFai.0058.Wyvernmix15xl_Xlv11.lora.safetensors
- FFai.0059.Xl13asmodeussfwnsfw_V17bakedvae.lora.safetensors
- FFai.0060.Xl3experimentalsd10xl_V10.lora.safetensors
- FFai.0061.Xl6hephaistossd10xlsfw_V21bakedvaefp16fix.lora.safetensors
- FFai.0062.Xlperfectdesign_V2ultimateartwork.lora.safetensors
- FFai.0063.Xlyamersrealistic_V3.lora.safetensors
- FFai.0064.Xxmix9realisticsdxl_Testv20.lora.safetensors
- FFai.0065.Zavychromaxl_B2.lora.safetensors
🎉 Acknowledgements & Citations
A huge shoutout to the community for their continued support and feedback. Together, we are pushing the boundaries of what's possible with machine learning!
We would also like to acknowledge and give credit to the following projects and authors:
ComfyUI: We've used and modified portions of ComfyUI for our work.
kohya-ss/sd-scripts and bmaltais: Our work also incorporates modifications from kohya-ss/sd-scripts.
lora-inspector: We've benefited from the lora-inspector project.
KohakuBlueleaf: Special mention to KohakuBlueleaf for their invaluable contributions.
HowMuch ???
Have you ever asked yourself, "How much space have I wasted on *.ckpt and *.safetensors checkpoints?" 🤔 Say hello to HowMuch: Checking checkpoint wasted space since... well, now!
😄 Enjoy this somewhat unnecessary, yet "fun-for-the-whole-family" DiskSpaceAnalyzer tool. 😄
Overview
HowMuch is a Python tool designed to scan your drives (or a specified directory) and report on the total space used by files with specific extensions, mainly .ckpt and .safetensors.
It outputs:
The total storage capacity of each scanned drive or directory.
The space occupied by
.ckptand.safetensorsfiles.The free space available.
A neat bar chart visualizing the above data.
Installation
From PyPI
You can easily install HowMuch via pip:
pip install howmuch
From Source
Clone the repository:
git clone https://github.com/1e-2/HowMuch.gitNavigate to the cloned directory and install:
cd HowMuch pip install .
Usage
Run the tool without any arguments to scan all drives:
howmuch
Or, specify a particular directory or drive to scan:
howmuch --scan C:
🌐 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:
🔐 Security powered by Comodo.BG & Preasidium.CX 🚀 Marketing by Гугъл.com 📩
🌍 Sofia Istanbul London
We hope the FFXL400 serves as a valuable asset in your AI journey. We encourage feedback, contributions, and insights from the community to further refine and enhance this model. Together, let's push the boundaries of what's possible!
Description
32 new LoRA's weights added on top of 1.0.
Unet and Text encoder further modified
FAQ
Comments (7)
it would be nice to credit all the creators of the models are used. In lots of the licenses its says its required to do so. Even this model has this this kind licence
All original filenames are listed in each chart or infographic
https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-lora-xl2.svg
We're looking for suggestions to streamline this process, as the current method delays our ability to post training results. Your feedback is valuable.
Since this is taking way too much time to actually post, opened for ideas to make it better
as this is stopping to post our own training results so far.
All weights are intestinally lowered to around 70% of the original model as well.
the list of checkpoints if also listed.
Model: sdxlYamersRealism_version2.FFai.lora64.safetensors
UNet weight average magnitude: 4.154722048359913
UNet weight average strength: 0.010771295011342323
UNet Conv weight average magnitude: 4.015763928139778
UNet Conv weight average strength: 0.004715556773610134
Text Encoder (1) weight average magnitude: 3.958945306529754
Text Encoder (1) weight average strength: 0.013064685133728026
Text Encoder (2) weight average magnitude: 3.9970537933453656
Text Encoder (2) weight average strength: 0.01012922219208529
----------------------------
Model: FF.66.hassakuSfwNsfwAlphav_alphaV02.lora.safetensors
UNet weight average magnitude: 4.6113617624162275
UNet weight average strength: 0.011981260592954776
UNet Conv weight average magnitude: 6.686307668617343
UNet Conv weight average strength: 0.006950538604713883
Text Encoder (1) weight average magnitude: 3.807746602732888
Text Encoder (1) weight average strength: 0.012745779610859834
Text Encoder (2) weight average magnitude: 3.729743715233202
Text Encoder (2) weight average strength: 0.009551327927254742
----------------------------
Model: FF.67.galaxytimemachinesGTM_xlplusV10.lora.safetensors
UNet weight average magnitude: 5.2081857497500135
UNet weight average strength: 0.012861152998866098
UNet Conv weight average magnitude: 6.477215331015863
UNet Conv weight average strength: 0.005731545812523109
Text Encoder (1) weight average magnitude: 3.865321475649114
Text Encoder (1) weight average strength: 0.012968309181164591
Text Encoder (2) weight average magnitude: 3.791585137796209
Text Encoder (2) weight average strength: 0.009739622211064131
----------------------------
Model: FF.68.furtasticxl_BetaEPOCHS3.lora.safetensors
UNet weight average magnitude: 4.82028448554389
UNet weight average strength: 0.012252009690673311
UNet Conv weight average magnitude: 6.774379998733585
UNet Conv weight average strength: 0.007177153983462227
Text Encoder (1) weight average magnitude: 4.20241893596518
Text Encoder (1) weight average strength: 0.01346020465857439
Text Encoder (2) weight average magnitude: 4.260738640446866
Text Encoder (2) weight average strength: 0.010471828656006711
----------------------------
Model: FF.69.formulaxlXLComfyui_v20Pruned.lora.safetensors
UNet weight average magnitude: 4.194797467480407
UNet weight average strength: 0.010794051441520451
UNet Conv weight average magnitude: 5.658129971781666
UNet Conv weight average strength: 0.004699672960547711
Text Encoder (1) weight average magnitude: 3.9974802957054556
Text Encoder (1) weight average strength: 0.013097433444426298
Text Encoder (2) weight average magnitude: 4.090353610501367
Text Encoder (2) weight average strength: 0.010226978548569817
----------------------------
Model: FF.70.FinalAnimeCG_mk2a2.lora.safetensors
UNet weight average magnitude: 5.832734982003316
UNet weight average strength: 0.013620979564593433
UNet Conv weight average magnitude: 6.588312134998715
UNet Conv weight average strength: 0.006310420276329548
Text Encoder (1) weight average magnitude: 3.856879807170544
Text Encoder (1) weight average strength: 0.012947154068967848
Text Encoder (2) weight average magnitude: 3.7769155501438316
Text Encoder (2) weight average strength: 0.009654614341923677
----------------------------
Model: FF.71.explicitFreedomNSFW_beta.lora.safetensors
UNet weight average magnitude: 4.501298830893416
UNet weight average strength: 0.01109003259855744
UNet Conv weight average magnitude: 6.204555848757276
UNet Conv weight average strength: 0.005750268214362425
Text Encoder (1) weight average magnitude: 3.85944453350698
Text Encoder (1) weight average strength: 0.012919606802022875
Text Encoder (2) weight average magnitude: 3.9375385889629477
Text Encoder (2) weight average strength: 0.010088601556714144
----------------------------
Model: FF.72.endjourneyXL_v11.lora.safetensors
UNet weight average magnitude: 4.202640614034873
UNet weight average strength: 0.010788684869548844
UNet Conv weight average magnitude: 5.80301284455635
UNet Conv weight average strength: 0.005029451652697187
Text Encoder (1) weight average magnitude: 3.835258093635928
Text Encoder (1) weight average strength: 0.012878727225694529
Text Encoder (2) weight average magnitude: 3.7550355683040344
Text Encoder (2) weight average strength: 0.009627099200498888
----------------------------
Model: FF.73.dreamshaperXL10_alpha2Xl10.lora.safetensors
UNet weight average magnitude: 3.859263254032285
UNet weight average strength: 0.010177448403109668
UNet Conv weight average magnitude: 0.0
UNet Conv weight average strength: 0.0
Text Encoder: Not Found
----------------------------
Model: FF.74.copaxTimelessxlSDXL1_v5.lora.safetensors
UNet weight average magnitude: 4.006565464438231
UNet weight average strength: 0.010389718183037322
UNet Conv weight average magnitude: 5.738000089710234
UNet Conv weight average strength: 0.0048703539869873365
Text Encoder: Not Found
----------------------------
Model: FF.75.cinemaxAlphaSDXLCinema_alpha1.lora.safetensors
UNet weight average magnitude: 4.466204403397648
UNet weight average strength: 0.011222293042751443
UNet Conv weight average magnitude: 5.684097723570108
UNet Conv weight average strength: 0.004689726735887235
Text Encoder (1) weight average magnitude: 3.9233677697347935
Text Encoder (1) weight average strength: 0.013047985608868315
Text Encoder (2) weight average magnitude: 3.967672834668905
Text Encoder (2) weight average strength: 0.010161683571519127
----------------------------
Model: FF.76.brixlAMustInYour_v20Banu.lora.safetensors
UNet weight average magnitude: 5.201652157233597
UNet weight average strength: 0.012340885235722432
UNet Conv weight average magnitude: 6.246570986909302
UNet Conv weight average strength: 0.005628776318139394
Text Encoder (1) weight average magnitude: 3.7901131354041215
Text Encoder (1) weight average strength: 0.012251635754363702
Text Encoder (2) weight average magnitude: 3.9011343266469787
Text Encoder (2) weight average strength: 0.009675557128661683
----------------------------
Model: FF.77.animeChangefulXL_v10ReleasedCandidate.lora.safetensors
UNet weight average magnitude: 4.8712592588918255
UNet weight average strength: 0.011882757534620026
UNet Conv weight average magnitude: 6.307265147238472
UNet Conv weight average strength: 0.005707653219309981
Text Encoder (1) weight average magnitude: 3.806143895360976
Text Encoder (1) weight average strength: 0.012739821013629662
Text Encoder (2) weight average magnitude: 3.7378093050117975
Text Encoder (2) weight average strength: 0.009586058803350757
----------------------------
Model: FF.78.xlYamersCartoonArcadia_v1.lora.safetensors
UNet weight average magnitude: 4.353353198959002
UNet weight average strength: 0.010753757289463425
UNet Conv weight average magnitude: 5.9177157902332835
UNet Conv weight average strength: 0.0051653985959496315
Text Encoder (1) weight average magnitude: 3.8127760281067853
Text Encoder (1) weight average strength: 0.012772330040804636
Text Encoder (2) weight average magnitude: 3.764581932297466
Text Encoder (2) weight average strength: 0.009682294095990565
----------------------------
Model: FF.79.venusxl_v11.lora.safetensors
UNet weight average magnitude: 4.0781163529498725
UNet weight average strength: 0.01056802143213069
UNet Conv weight average magnitude: 5.725042873950945
UNet Conv weight average strength: 0.004766753768581111
Text Encoder (1) weight average magnitude: 3.8819661703272876
Text Encoder (1) weight average strength: 0.01297504551077796
Text Encoder (2) weight average magnitude: 3.8989897630581978
Text Encoder (2) weight average strength: 0.00999233670699671
----------------------------
Model: FF.80.unsafexl_v20.lora.safetensors
UNet weight average magnitude: 4.433128703574937
UNet weight average strength: 0.01126235056722307
UNet Conv weight average magnitude: 5.6776551531768105
UNet Conv weight average strength: 0.004711627911345002
Text Encoder (1) weight average magnitude: 3.9928442365475028
Text Encoder (1) weight average strength: 0.013100078304973888
Text Encoder (2) weight average magnitude: 3.945462724939238
Text Encoder (2) weight average strength: 0.010062376848996262
----------------------------
Model: FF.81.sdxlYamersRealism_version2.lora.safetensors
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Text Encoder (1) weight average magnitude: 3.958945306529754
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Text Encoder (2) weight average magnitude: 3.9970537933453656
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Model: FF.82.sdxlUnstableDiffusers_v6StabilityEater.lora.safetensors
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Text Encoder (1) weight average magnitude: 3.8646596391683863
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Model: FF.83.sdxlNuclearGeneralPurposeSemi_v10.lora.safetensors
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Text Encoder (1) weight average magnitude: 3.908995280978119
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Model: FF.84.sdvn6Realxl_detailface.lora.safetensors
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Model: FF.85.samaritan3dCartoon_v40SDXL.lora.safetensors
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Model: FF.86.realvisxlV10_v10VAE.lora.safetensors
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Model: FF.87.RealitiesEdgeXLANIME_20.lora.safetensors
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Model: FF.88.RealitiesEdgeXL_30.lora.safetensors
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Model: FF.89.realisticStockPhoto_v10.lora.safetensors
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Model: FF.90.realisticFreedomSFW_alpha.lora.safetensors
UNet weight average magnitude: 4.570225351823505
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Model: FF.91.realcartoonXL_v2.lora.safetensors
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Model: FF.92.pyrosSDModelsBlowjob_v0122022steps.lora.safetensors
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Text Encoder: Not Found
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Model: FF.93.pyrosNSFWSDXL_v013e6.lora.safetensors
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Text Encoder: Not Found
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Model: FF.94.nightvisionXLPhotorealisticPortrait_v0743ReleaseBakedvae.lora.safetensors
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Model: FF.95.newone_v10.lora.safetensors
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Text Encoder (1) weight average magnitude: 3.826913276992613
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Model: FF.96.MOHAWK_v10BETA.lora.safetensors
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Model: FF.97.juggernautXL_version4.lora.safetensors
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Text Encoder (1) weight average magnitude: 3.98009165065858
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Model: FF.98.sdxlYamersRealism_version2.lora.safetensors
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Text Encoder (1) weight average magnitude: 3.958945306529754
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----------------------------
@idle the filename and technical informations are not relevant just put apnames list of the creators to each file it's actually not that complicated and don't take that long. for example model :
FF.98.sdxlYamersRealism_version2.lora.safetensors
Made by Yamer
...fenrisxl5.5saftensors made by freek22
Etc ......
You can also hyperlink to the original model but this is optional
The point is not calling the author names is against lot of the model licences.
I think it's easy to do and fullfill
just because it would cost an hour or so of time brings this really good project in danger to getting deleted by someone that is in this model / project.
I know a few of them personally some of them for sure would do that.
Please keep up this great project 👍
@freek22 100% with you on that...
tried to automate but each creator still does not insert proper meta in checkpoints
for example sdxlYamersRealism_version2.safetensors [ca66f68ade] is missing
"modelspec.title": "400GB LORA FFusion - v.0.1",
modelspec.date": "2023-09-05",
"modelspec.description": "",
"modelspec.author": "FFusionAI",
etc....I will try using the api to link all in the main page for now.
Why can't I use Mario's model?
i use the https://webui.graviti.com/
I understand that you've extracted bits of each of the checkpoints into a LORA, what exactly is in each of those LORAs?
does this work with comfyui and if so then how?
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.