description: <h1 id="heading-25">LoRA XL Models - CivitAI Repository 🌠</h1><p>Welcome to the FFusion LoRA extracted models repository on Hugging Face &amp; CivitAI! Here, we present a collection of models extracted using the Low-Rank Adaptation (LoRA) technique to provide a rich dataset for research and further exploration.<br /></p><h3 id="heading-26">🌌 FFusion's Universe of <strong>🧪 Curated LoRA Extractions</strong></h3><p>Our <strong>LoRAs</strong> are <strong>carefully extracted</strong> from a variety of models, allowing you to <strong>mix and match</strong> styles to create <strong>truly unique</strong> and artistic fusions. These extracted LoRAs are not a direct copy; they capture the <strong>essence</strong> of the original model, adding a creative influence <strong>"In the style of"</strong> or <strong>"Influenced by"</strong> the original work.</p><h3 id="heading-27"><strong>🧫 Research-Focused LoRAs</strong></h3><p>Please note that all <strong>FFusionAI extracted LoRAs</strong> are intended for <strong>research purposes only</strong> and are not licensed for commercial use. We encourage <strong>responsible</strong> and <strong>ethical utilization</strong> of these LoRAs to advance the field of <strong>AI-powered art creation</strong>.</p><p></p><h2 id="heading-37">⚠️ License &amp; Usage Disclaimers</h2><p><strong>Please review the full </strong><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/FFXL400/blob/main/LICENSE.md"><strong><u>license agreement</u></strong></a><strong> before accessing or using the models.</strong></p><p><br />The correct license and permissions can be found at:<br /><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL#%E2%9A%A0%EF%B8%8F-license--usage-disclaimers">https://huggingface.co/FFusion/</a><br /><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/FFXL400/blob/main/LICENSE.md">https://huggingface.co/FFusion/FFXL400/blob/main/LICENSE.md</a></p><p></p><h3 id="heading-26"></h3><pre><code>"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."</code></pre><p></p><p>🔴 The models and weights available in this repository are <strong>strictly for research and testing purposes</strong>, with exceptions noted below. They are <strong>not</strong> generally intended for commercial use and are dependent on each individual LORA.</p><p>🔵 <strong>Exception for Commercial Use:</strong> The <a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/FFusionXL-BASE"><strong><u>FFusionXL-BASE</u></strong></a>, <a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/FFusion-BaSE"><strong><u>FFusion-BaSE</u></strong></a>, <a target="_blank" rel="ugc" href="http://di.FFUSION.ai"><strong><u>di.FFUSION.ai</u></strong></a><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/di.FFUSION.ai-v2.1-768-BaSE-alpha"><strong><u>-v2.1-768-BaSE-alpha</u></strong></a>, and <a target="_blank" rel="ugc" href="http://di.ffusion.ai"><strong><u>di.ffusion.ai</u></strong></a><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/di.ffusion.ai.Beta512"><strong><u>.Beta512</u></strong></a> 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.</p><p>🔴 <strong>Disclaimer:</strong> FFusion AI, in conjunction with Source Code Bulgaria Ltd and BlackswanTechnologies, <strong>does not endorse or guarantee the content produced by the weights in each LORA</strong>. There's potential for generating NSFW or offensive content. Collectively, we expressly disclaim responsibility for the outcomes and content produced by these weights.</p><p>🔴 <strong>Acknowledgement:</strong> The <a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/FFusionXL-BASE"><strong><u>FFusionXL-BASE</u></strong></a> 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.</p><p></p><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/tree/main"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image0.jpg" alt="400GB FFusion Lora XL 1" /></u></strong></a></p><p></p><p></p><p></p><p><strong>Enhanced LoRA Flexibility</strong></p><ul><li><p><strong>Dynamic Range</strong>: Unleash the full potential of your images with our flexible LoRA settings, offering a broad spectrum ranging from 0.2 for subtle nuances to 2.2 for intense transformations. This extended range surpasses standard limitations, providing unparalleled control to fine-tune visuals to your exact specifications.</p></li></ul><p></p><h3 id="heading-45"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/620d7095-c0b7-4962-a0ea-0902bb62bafa/width=525/620d7095-c0b7-4962-a0ea-0902bb62bafa.jpeg" /></h3><p></p><p><strong>Unparalleled Customization</strong></p><p>Unlike conventional models that limit LoRA strength to a narrow range, FFusionAI provides unparalleled flexibility. Adjust LoRA strength from 0.2 for subtle effects to 2.2 for intense transformations. This extended range ensures that you have the tools to achieve the perfect stylistic blend, regardless of the base model or desired outcome.</p><p></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c5a92706-1bec-44fc-889f-3c23a913997a/width=525/c5a92706-1bec-44fc-889f-3c23a913997a.jpeg" /></p><p></p><p>🌟 <strong>Recommended Strength Settings for FF100+</strong> 🌟</p><p>🎨 <strong>Visuals</strong>: Boost up to 2.2 for vibrant and striking detail.</p><p>🔗 <strong>Fusing Loras</strong>: Maintain 0.3 - 1.0 for seamless and safe integration with up to 6 FF Lora from FF100 above.</p><p>📚 <strong>Main Base Model for Testing</strong>:</p><ul><li><p><a target="_new" rel="ugc" href="https://huggingface.co/FFusion/FFusionXL-BASE">Hugging Face: FFusionXL-BASE</a></p></li><li><p><a target="_blank" rel="ugc" href="https://civitai.com/models/143579/ffusionxl-base">CivitAI: FFusionXL-BASE</a></p></li></ul><h3 id="heading-81">📢 <strong>UPDATE: 10/22/23</strong> 📆</h3><p>🌟 Introducing our upcoming batch of LoRAs numbered <strong>FF.100 to FF.176</strong>!</p><p>📈 <strong>Optimized new Size</strong>: ~200 - 400MB (depending on original models training and weights) <br />🏷️ <strong>New Naming</strong>: Optimized experience on <a target="_blank" rel="ugc" href="https://huggingface.co/FFusion"><strong>Hugging Face</strong></a> for faster inference and testing.</p><pre><code>pipe = DiffusionPipeline.from_pretrained("FFusion/FFusionXL-BASE", torch_dtype=torch.float16).to("cuda")
  lora_model_id = "FFusion/400GB-LoraXL"
   lora_filename = "FF.101.safetensors"
  pipe.load_lora_weights(lora_model_id, weight_name=lora_filename)</code></pre><p>CivitAI naming format stays the same.<br /><a target="_blank" rel="ugc" href="https://huggingface.co/docs/diffusers/training/lora#supporting-different-lora-checkpoints-from-diffusers">Loading from CivitAI in diffusers </a><br /></p><p>Todo: 🔄 <strong>Sync CivitAI Repo</strong>: Up to date to FF98 <br /><br /></p><h3 id="heading-2">Latest FF60-FF98</h3><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/tree/main"><strong><u><br /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-lora-xl1.svg" alt="FF-lora-xl1" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-lora-xl2.svg" alt="FF-lora-xl2" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-lora-xl3.svg" alt="FF-lora-xl3" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-loras-68-96-1.png" alt="FF-loras-68-96-1" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-loras-68-96-2.png" alt="FF-loras-68-96-2" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-loras-68-96-3.png" alt="FF-loras-68-96-3" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-loras-68-96-4.png" alt="FF-loras-68-96-4" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-loras-68-96-5.png" alt="FF-loras-68-96-5" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-loras-68-96-6.png" alt="FF-loras-68-96-6" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-loras-68-96-7.png" alt="FF-loras-68-96-7" /><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/Charts60-100/FF-loras-68-96-8.png" alt="FF-loras-68-96-8" /></u></strong></a></p><pre><code>Model: sdxlYamersRealism_version2 - Status: Text encoder is different. 0.0048828125
  Model: animeChangefulXL_v10ReleasedCandidate - Status: Text encoder is different. 0.00390625
  Model: brixlAMustInYour_v20Banu - Status: Text encoder is different. 0.001434326171875
  Model: cinemaxAlphaSDXLCinema_alpha1 - Status: Text encoder is different. 0.00311279296875
  Model: copaxTimelessxlSDXL1_v5 - Status: Text encoder is same.
  Model: dreamshaperXL10_alpha2Xl10 - Status: Text encoder is same.
  Model: endjourneyXL_v11 - Status: Text encoder is different. 0.0029296875
  Model: explicitFreedomNSFW_beta - Status: Text encoder is different. 0.001220703125
  Model: FinalAnimeCG_mk2a2 - Status: Text encoder is different. 0.00390625
  Model: formulaxlXLComfyui_v20Pruned - Status: Text encoder is different. 0.002643585205078125
  Model: furtasticxl_BetaEPOCHS3 - Status: Text encoder is different. 0.013824462890625
  Model: galaxytimemachinesGTM_xlplusV10 - Status: Text encoder is different. 0.0012865066528320312
  Model: hassakuSfwNsfwAlphav_alphaV02 - Status: Text encoder is different. 0.00390625
  Model: juggernautXL_version4 - Status: Text encoder is different. 0.0019378662109375
  Model: MOHAWK_v10BETA - Status: Text encoder is different. 0.00103759765625
  Model: newone_v10 - Status: Text encoder is different. 0.001190185546875
  Model: nightvisionXLPhotorealisticPortrait_v0743ReleaseBakedvae - Status: Text encoder is different. 0.009429931640625
  Model: pyrosNSFWSDXL_v013e6 - Status: Text encoder is same.
  Model: pyrosSDModelsBlowjob_v0122022steps - Status: Text encoder is same.
  Model: realisticFreedomSFW_alpha - Status: Text encoder is different. 0.0011749267578125
  Model: realisticStockPhoto_v10 - Status: Text encoder is different. 0.0011444091796875
  Model: RealitiesEdgeXLANIME_20 - Status: Text encoder is different. 0.0018310546875
  Model: RealitiesEdgeXL_30 - Status: Text encoder is different. 0.004150390625
  Model: realvisxlV10_v10VAE - Status: Text encoder is different. 0.0029296875
  Model: samaritan3dCartoon_v40SDXL - Status: Text encoder is different. 0.00390625
  Model: sdvn6Realxl_detailface - Status: Text encoder is same.
  Model: sdxlNuclearGeneralPurposeSemi_v10 - Status: Text encoder is different. 0.003021240234375
  Model: sdxlUnstableDiffusers_v6StabilityEater - Status: Text encoder is different. 0.0029296875
  Model: sdxlYamersRealism_version2 - Status: Text encoder is different. 0.0048828125
  Model: unsafexl_v20 - Status: Text encoder is different. 0.068359375
  Model: venusxl_v11 - Status: Text encoder is different. 0.0013863444328308105
  Model: xlYamersCartoonArcadia_v1 - Status: Text encoder is different. 0.0029296875
  Model: FFusionXL-BASE-v1 - Status: Text encoder is different. 0.032245635986328125
  Model: FFXL-400-v2 - Status: Text encoder is different. 0.023212432861328125
  Model: FFXL400-LoRA-XL-FFusion-v1 - Status: Text encoder is different. 0.020404815673828125
  Model: FFXXL-400-v2 - Status: Text encoder is different. 0.00948333740234375
  Model: realcartoonXL_v2 - Status: Text encoder is different. 0.0015802383422851562
  
  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
  UNet weight average magnitude: 4.229406260655774
  UNet weight average strength: 0.01076863108078825
  UNet Conv weight average magnitude: 5.653783535189452
  UNet Conv weight average strength: 0.004649401315378378
  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.82.sdxlUnstableDiffusers_v6StabilityEater.lora.safetensors
  UNet weight average magnitude: 4.387654105095919
  UNet weight average strength: 0.010840575656477952
  UNet Conv weight average magnitude: 5.859291158408854
  UNet Conv weight average strength: 0.004964447160293478
  Text Encoder (1) weight average magnitude: 3.8646596391683863
  Text Encoder (1) weight average strength: 0.012911755181541458
  Text Encoder (2) weight average magnitude: 3.840901404987889
  Text Encoder (2) weight average strength: 0.009815472265736007
  ----------------------------
  Model: FF.83.sdxlNuclearGeneralPurposeSemi_v10.lora.safetensors
  UNet weight average magnitude: 4.329690552630377
  UNet weight average strength: 0.01081156604611163
  UNet Conv weight average magnitude: 5.754435529197304
  UNet Conv weight average strength: 0.004791491470688117
  Text Encoder (1) weight average magnitude: 3.908995280978119
  Text Encoder (1) weight average strength: 0.012984716052686607
  Text Encoder (2) weight average magnitude: 3.8730233638208733
  Text Encoder (2) weight average strength: 0.009816295838443996
  ----------------------------
  Model: FF.84.sdvn6Realxl_detailface.lora.safetensors
  UNet weight average magnitude: 3.9204966894076203
  UNet weight average strength: 0.010152018695796424
  UNet Conv weight average magnitude: 5.609827023476847
  UNet Conv weight average strength: 0.004578104347668462
  Text Encoder: Not Found
  ----------------------------
  Model: FF.85.samaritan3dCartoon_v40SDXL.lora.safetensors
  UNet weight average magnitude: 4.1930053871423265
  UNet weight average strength: 0.010823639858269587
  UNet Conv weight average magnitude: 6.242507300692357
  UNet Conv weight average strength: 0.006012499761466946
  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.86.realvisxlV10_v10VAE.lora.safetensors
  UNet weight average magnitude: 4.035726046516959
  UNet weight average strength: 0.01043685083171328
  UNet Conv weight average magnitude: 5.780022388037139
  UNet Conv weight average strength: 0.0049551385295671935
  Text Encoder (1) weight average magnitude: 3.862534960968426
  Text Encoder (1) weight average strength: 0.01291815120168007
  Text Encoder (2) weight average magnitude: 3.8792245692334855
  Text Encoder (2) weight average strength: 0.010027987691388776
  ----------------------------
  Model: FF.87.RealitiesEdgeXLANIME_20.lora.safetensors
  UNet weight average magnitude: 4.322741449452443
  UNet weight average strength: 0.011017050541178184
  UNet Conv weight average magnitude: 5.957632120776351
  UNet Conv weight average strength: 0.005321540223768453
  Text Encoder (1) weight average magnitude: 3.9027693617053862
  Text Encoder (1) weight average strength: 0.013066310297084008
  Text Encoder (2) weight average magnitude: 3.941240896860996
  Text Encoder (2) weight average strength: 0.010187814902599733
  ----------------------------
  Model: FF.88.RealitiesEdgeXL_30.lora.safetensors
  UNet weight average magnitude: 4.527436449035657
  UNet weight average strength: 0.011438576163998578
  UNet Conv weight average magnitude: 6.042128532601058
  UNet Conv weight average strength: 0.0053643976503331536
  Text Encoder (1) weight average magnitude: 3.96435868300754
  Text Encoder (1) weight average strength: 0.013183793628117942
  Text Encoder (2) weight average magnitude: 4.03501811478197
  Text Encoder (2) weight average strength: 0.01033219734045475
  ----------------------------
  Model: FF.89.realisticStockPhoto_v10.lora.safetensors
  UNet weight average magnitude: 4.178010046544553
  UNet weight average strength: 0.01060077238986419
  UNet Conv weight average magnitude: 5.832883513120958
  UNet Conv weight average strength: 0.005094057992644391
  Text Encoder (1) weight average magnitude: 3.838598740372775
  Text Encoder (1) weight average strength: 0.012775584451815206
  Text Encoder (2) weight average magnitude: 3.8534473782218375
  Text Encoder (2) weight average strength: 0.009703626948148766
  ----------------------------
  Model: FF.90.realisticFreedomSFW_alpha.lora.safetensors
  UNet weight average magnitude: 4.570225351823505
  UNet weight average strength: 0.011338880456799554
  UNet Conv weight average magnitude: 6.107921122775599
  UNet Conv weight average strength: 0.005313926393612039
  Text Encoder (1) weight average magnitude: 3.9145800451769137
  Text Encoder (1) weight average strength: 0.012987243885510853
  Text Encoder (2) weight average magnitude: 3.9456476675702756
  Text Encoder (2) weight average strength: 0.010086475486504298
  ----------------------------
  Model: FF.91.realcartoonXL_v2.lora.safetensors
  UNet weight average magnitude: 4.264556294830096
  UNet weight average strength: 0.010837268212782766
  UNet Conv weight average magnitude: 5.775273580445967
  UNet Conv weight average strength: 0.004823115907624419
  Text Encoder (1) weight average magnitude: 3.868685000881062
  Text Encoder (1) weight average strength: 0.012967535154814412
  Text Encoder (2) weight average magnitude: 3.8942008722126786
  Text Encoder (2) weight average strength: 0.009956078788817995
  ----------------------------
  Model: FF.92.pyrosSDModelsBlowjob_v0122022steps.lora.safetensors
  UNet weight average magnitude: 4.29299465986103
  UNet weight average strength: 0.011065152509191439
  UNet Conv weight average magnitude: 6.148179389228268
  UNet Conv weight average strength: 0.005785365500822891
  Text Encoder: Not Found
  ----------------------------
  Model: FF.93.pyrosNSFWSDXL_v013e6.lora.safetensors
  UNet weight average magnitude: 4.462978487594761
  UNet weight average strength: 0.011458003048327881
  UNet Conv weight average magnitude: 6.365678967519903
  UNet Conv weight average strength: 0.006252718402740558
  Text Encoder: Not Found
  ----------------------------
  Model: FF.94.nightvisionXLPhotorealisticPortrait_v0743ReleaseBakedvae.lora.safetensors
  UNet weight average magnitude: 4.30821859959078
  UNet weight average strength: 0.01092674471500856
  UNet Conv weight average magnitude: 5.760595716272804
  UNet Conv weight average strength: 0.0047913433799900915
  Text Encoder (1) weight average magnitude: 4.082814836813033
  Text Encoder (1) weight average strength: 0.013277437149876429
  Text Encoder (2) weight average magnitude: 4.269554751742187
  Text Encoder (2) weight average strength: 0.0104525629385582
  ----------------------------
  Model: FF.95.newone_v10.lora.safetensors
  UNet weight average magnitude: 3.9863974933790827
  UNet weight average strength: 0.010221166935769414
  UNet Conv weight average magnitude: 5.591587011383119
  UNet Conv weight average strength: 0.004544408523927106
  Text Encoder (1) weight average magnitude: 3.826913276992613
  Text Encoder (1) weight average strength: 0.012515731668562081
  Text Encoder (2) weight average magnitude: 3.7789877235680827
  Text Encoder (2) weight average strength: 0.008847150427050579
  ----------------------------
  Model: FF.96.MOHAWK_v10BETA.lora.safetensors
  UNet weight average magnitude: 4.13427196290026
  UNet weight average strength: 0.010604709463386349
  UNet Conv weight average magnitude: 5.906059771550209
  UNet Conv weight average strength: 0.005266774851315859
  Text Encoder (1) weight average magnitude: 3.8816106810049615
  Text Encoder (1) weight average strength: 0.013007851116722372
  Text Encoder (2) weight average magnitude: 3.795246249757246
  Text Encoder (2) weight average strength: 0.009741588405668723
  ----------------------------
  Model: FF.97.juggernautXL_version4.lora.safetensors
  UNet weight average magnitude: 4.351658373013424
  UNet weight average strength: 0.01097575598820061
  UNet Conv weight average magnitude: 5.7254163997882515
  UNet Conv weight average strength: 0.0048427100518286656
  Text Encoder (1) weight average magnitude: 3.98009165065858
  Text Encoder (1) weight average strength: 0.013189073899460014
  Text Encoder (2) weight average magnitude: 4.452439746998783
  Text Encoder (2) weight average strength: 0.010877184808674183
  ----------------------------
  Model: FF.98.sdxlYamersRealism_version2.lora.safetensors
  UNet weight average magnitude: 4.229406260655774
  UNet weight average strength: 0.01076863108078825
  UNet Conv weight average magnitude: 5.653783535189452
  UNet Conv weight average strength: 0.004649401315378378
  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
  ----------------------------</code></pre><h1 id="heading-25"></h1><h2 id="heading-26">📦 Base Models</h2><p>The following models served as the foundation for our extractions:</p><ul><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0"><strong><u>stabilityai/stable-diffusion-xl-base-1.0</u></strong></a></p></li><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9"><strong><u>stabilityai/stable-diffusion-xl-base-0.9</u></strong></a></p></li><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/FFusionXL-BASE"><strong><u>FFusion/FFusionXL-BASE</u></strong></a></p></li></ul><h2 id="heading-27">🌟 Recommended Models for Inference</h2><p>For those on the quest for ideal models to drive their inference tasks, we especially recommend:</p><ul><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/FFusionXL-BASE"><strong><u>FFusionXL-BASE</u></strong></a> - Our signature base model, meticulously trained with licensed images.</p></li><li><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/FFXL400"><strong><u>FFXL400 Combined LoRA Model 🚀</u></strong></a> - A galactic blend of power and precision in the world of LoRA models.</p></li></ul><p>Rest assured, our LoRAs, even at weight 1.0, maintain compatibility with most of the current SDXL models.</p><h2 id="heading-28">🔍 Extraction Details</h2><ul><li><p><strong>Variants:</strong> Each base model was extracted into 4-5 distinct variants.</p></li><li><p><strong>Extraction Depth:</strong> The models uploaded here contain approximately 70% of extracted data. These extractions yield a dataset size of around 400 GB.</p></li><li><p><strong>Precision:</strong> We experimented with both <code>float32</code> and <code>float64</code> for optimal extraction results.</p></li><li><p><strong>Differences Measurement:</strong> Singular Value Decomposition (SVD) was utilized to measure differences between the original and the tuned models. A threshold of 1e-3 was commonly used, although in some cases, 1e-5 and 1e-2 were tested.</p></li><li><p><strong>Demonstration Parameters:</strong> For our demonstration, we employed <code>"conv_dim": 256</code> and <code>"conv_alpha": 256</code>.</p></li></ul><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image8.jpg"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image8sm.jpg" alt="400GB FFusion Lora XL 8" /></u></strong></a></p><h2 id="heading-29">⚙️ Technical Notes</h2><ul><li><p>Most SDXL models in this collection are not traditionally "trained." Instead, they are merged from previous SDXL 0.9 versions or created using other methods with the help of Comfy UI.</p></li><li><p>An important note for users: all models saved with Comfy add an extra key <code>text_model.encoder.text_model.embeddings.position_ids</code>. We've made necessary adjustments to ensure compatibility with the current scripts from Kohoya.</p></li></ul><h2 id="heading-30">📈 Use Cases</h2><p>These extracted models are intended for research and testing. They can be particularly useful for:</p><ul><li><p>Investigating the potential of merging multiple LoRAs.</p></li><li><p>Weighting experiments with 1-5 LoRAs simultaneously.</p></li><li><p>Exploring the differences and similarities between LoRAs extracted from different base models.<a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image2.jpg"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image2sm.jpg" alt="400GB FFusion Lora XL 2" /></u></strong></a></p></li></ul><h1 id="heading-31">FFusion LoRA Extracted Models - How to Use Guide 🧠</h1><p>Welcome to the technical guide for using the FFusion LoRA extracted models. This document will walk you through the steps required to fuse LoRA parameters, load checkpoints, and perform inference.</p><h2 id="heading-32">Fusing LoRA Parameters 🔗</h2><p>To merge the LoRA parameters with the original parameters of the underlying model(s), leading to a potential speedup in inference latency:</p><pre><code>pipe.fuse_lora()
  </code></pre><h3 id="heading-33">Unfusing LoRA Parameters ⛓️</h3><p>To revert the effects of <code>fuse_lora()</code>:</p><pre><code>pipe.unfuse_lora()
  </code></pre><h3 id="heading-34">Working with Different LoRA Scales 🎚️</h3><p>To control the influence of the LoRA parameters on the outputs:</p><pre><code>pipe.fuse_lora(lora_scale=0.5)
  </code></pre><h2 id="heading-35">Working with FFusion Models 🔍</h2><p>Here's how to load and utilize our FFusion models:</p><pre><code>from diffusers import DiffusionPipeline
  import torch
  
  pipeline_id = "FFusion/FFusionXL-BASE"
  
  pipe = DiffusionPipeline.from_pretrained(pipeline_id, torch_dtype=torch.float16)
  pipe.enable_model_cpu_offload()
  
  lora_model_id = "FFusion/400GB-LoraXL"
  lora_filename = "FFai.0038.Realitycheckxl_Alpha11.lora.safetensors"
  pipe.load_lora_weights(lora_model_id, weight_name=lora_filename)
  
  prompt = "papercut sonic"
  image = pipe(prompt=prompt, num_inference_steps=20, generator=torch.manual_seed(0)).images[0]
  image
  </code></pre><h2 id="heading-36">Running Inference 🖼️</h2><p>After loading the desired model, you can perform inference as follows:</p><pre><code>generator = torch.manual_seed(0)
  images_fusion = pipe(
      "masterpiece, best quality, mountain", output_type="np", generator=generator, num_inference_steps=25
  ).images
  </code></pre><h2 id="heading-37"></h2><h2 id="heading-38">Library of Available LoRA Models 📚</h2><p>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 <code>lora_model_id = "FFusion/400GB-LoraXL"</code>:</p><pre><code>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
  </code></pre><h3 id="heading-39">📊 Text Encoder Difference Overview</h3><p>Based on the extraction process, we observed the following differences in the text encoder across various models:<a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/tree/main"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/infochartw.jpg" alt="FFusionAI tests" /></u></strong></a></p><ul><li><p><strong>bluePencilXL_v021</strong> ✅ Text encoder available. Difference by 0.00140380859375</p></li><li><p><strong>sdvn7Realartxl_beta2</strong> ✅ Text encoder available. Difference by 0.00362396240234375</p></li><li><p><strong>4Guofeng4XL_v1125D</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>ambienceSDXL_a1</strong> ✅ Text encoder available. Difference by 0.003082275390625</p></li><li><p><strong>angraSDXL10_v22</strong> ✅ Text encoder available. Difference by 0.001953125</p></li><li><p><strong>animagineXL_v10</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>animeArtDiffusionXL_alpha3</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>astreapixieXLAnime_v16</strong> ✅ Text encoder available. Difference by 0.0029296875</p></li><li><p><strong>bluePencilXL_v010</strong> ✅ Text encoder available. Difference by 0.00177001953125</p></li><li><p><strong>breakdomainxl_v03d</strong> ✅ Text encoder available. Difference by 0.0013427734375</p></li><li><p><strong>canvasxl_Bfloat16V002</strong> ✅ Text encoder available. Difference by 0.00390625</p></li><li><p><strong>cherryPickerXL_v20</strong> ✅ Text encoder available. Difference by 0.0016450881958007812</p></li><li><p><strong>copaxTimelessxlSDXL1_v44</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>counterfeitxl_v10</strong> ✅ Text encoder available. Difference by 0.001708984375</p></li><li><p><strong>crystalClearXL_ccxl</strong> ✅ Text encoder available. Difference by 0.0012865066528320312</p></li><li><p><strong>deepblueXL_v006</strong> ✅ Text encoder available. Difference by 0.00200653076171875</p></li><li><p><strong>dreamshaperXL10_alpha2Xl10</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>duchaitenAiartSDXL_v10</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>dynavisionXLAllInOneStylized_beta0371Bakedvae</strong> ✅ Text encoder available. Difference by 0.00321197509765625</p></li><li><p><strong>dynavisionXLAllInOneStylized_beta0411Bakedvae</strong> ✅ Text encoder available. Difference by 0.0037841796875</p></li><li><p><strong>envyoverdrivexl_v11</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>envypoodaxl01_v10</strong> ✅ Text encoder available. Difference by 0.0011358261108398438</p></li><li><p><strong>fantasticCharacters_v55</strong> ✅ Text encoder available. Difference by 0.00390625</p></li><li><p><strong>fenrisxl_V55</strong> ✅ Text encoder available. Difference by 0.0086822509765625</p></li><li><p><strong>fudukiMix_v10</strong> ✅ Text encoder available. Difference by 0.0011138916015625</p></li><li><p><strong>infinianimexl_v16</strong> ✅ Text encoder available. Difference by 0.0048828125</p></li><li><p><strong>juggernautXL_version1</strong> ✅ Text encoder available. Difference by 0.001953125</p></li><li><p><strong>LahMysteriousSDXL_v330</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>mbbxlUltimate_v10RC</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>miamodelSFWNSFWSDXL_v30</strong> ✅ Text encoder available. Difference by 0.0047607421875</p></li><li><p><strong>morphxl_v10</strong> ✅ Text encoder available. Difference by 0.001861572265625</p></li><li><p><strong>nightvisionXLPhotorealisticPortrait_beta0681Bakedvae</strong> ✅ Text encoder available. Difference by 0.013885498046875</p></li><li><p><strong>osorubeshiAlphaXL_z</strong> ✅ Text encoder available. Difference by 0.005615234375</p></li><li><p><strong>physiogenXL_v04</strong> ✅ Text encoder available. Difference by 0.00390625</p></li><li><p><strong>protovisionXLHighFidelity3D_beta0520Bakedvae</strong> ✅ Text encoder available. Difference by 0.007568359375</p></li><li><p><strong>realitycheckXL_alpha11</strong> ✅ Text encoder available. Difference by 0.0015010833740234375</p></li><li><p><strong>realmixXL_v10</strong> ✅ Text encoder available. Difference by 0.0023899078369140625</p></li><li><p><strong>reproductionSDXL_v31</strong> ✅ Text encoder available. Difference by 0.00146484375</p></li><li><p><strong>rundiffusionXL_beta</strong> ✅ Text encoder available. Difference by 0.00196075439453125</p></li><li><p><strong>samaritan3dCartoon_v40SDXL</strong> ✅ Text encoder available. Difference by 0.0009765625</p></li><li><p><strong>sdvn6Realxl_detailface</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>sdxl10ArienmixxlAsian_v10</strong> ✅ Text encoder available. Difference by 0.00048828125</p></li><li><p><strong>sdxlbaseNsfwFaces_sdxlNsfwFaces03</strong> ✅ Text encoder available. Difference by 0.008056640625</p></li><li><p><strong>sdxlFaetastic_v10</strong> ✅ Text encoder available. Difference by 0.0029296875</p></li><li><p><strong>sdxlFixedvaeFp16Remove_baseFxiedVaeV2Fp16</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>sdxlNijiV4_sdxlNijiV4</strong> ✅ Text encoder available. Difference by 0.0009765625</p></li><li><p><strong>SDXLRonghua_v11</strong> ✅ Text encoder available. Difference by 0.0009765625</p></li><li><p><strong>sdxlUnstableDiffusers_v5UnchainedSlayer</strong> ✅ Text encoder available. Difference by 0.001251220703125</p></li><li><p><strong>sdxlYamersAnimeUltra_yamersAnimeV2</strong> ✅ Text encoder available. Difference by 0.000732421875</p></li><li><p><strong>sdXL_v10VAEFix</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>shikianimexl_v10</strong> ✅ Text encoder available. Difference by 0.0009765625</p></li><li><p><strong>spectrumblendx_v10</strong> ✅ Text encoder available. Difference by 0.0013065338134765625</p></li><li><p><strong>stableDiffusionXL_v30</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>talmendoxlSDXL_v11Beta</strong> 🚫 Text encoder unavailable. Same as SDXL 1.0 Base</p></li><li><p><strong>wizard_v10</strong> ✅ Text encoder available. Difference by 0.000244140625</p></li></ul><h2 id="heading-40">🎉 Acknowledgements &amp; Citations</h2><p>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!</p><p>We would also like to acknowledge and give credit to the following projects and authors:</p><ul><li><p><strong>ComfyUI</strong>: We've used and modified portions of <a target="_blank" rel="ugc" href="https://github.com/comfyanonymous/ComfyUI"><strong><u>ComfyUI</u></strong></a> for our work.</p></li><li><p><strong>kohya-ss/sd-scripts and bmaltais</strong>: Our work also incorporates modifications from <a target="_blank" rel="ugc" href="https://github.com/kohya-ss/sd-scripts"><strong><u>kohya-ss/sd-scripts</u></strong></a>.</p></li><li><p><strong>lora-inspector</strong>: We've benefited from the <a target="_blank" rel="ugc" href="https://github.com/rockerBOO/lora-inspector"><strong><u>lora-inspector</u></strong></a> project.</p></li><li><p><strong>KohakuBlueleaf</strong>: Special mention to KohakuBlueleaf for their invaluable contributions.</p></li></ul><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image1.jpg"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image1sm.jpg" alt="400GB FFusion Lora XL 1" /></u></strong></a></p><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image3.jpg"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image3sm.jpg" alt="400GB FFusion Lora XL 3" /></u></strong></a></p><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image4.jpg"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image4sm.jpg" alt="400GB FFusion Lora XL 4" /></u></strong></a></p><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image5.jpg"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image5sm.jpg" alt="400GB FFusion Lora XL 5" /></u></strong></a></p><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image6.jpg"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image6sm.jpg" alt="400GB FFusion Lora XL 6" /></u></strong></a></p><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image7.jpg"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image7sm.jpg" alt="400GB FFusion Lora XL 7" /></u></strong></a></p><p><a target="_blank" rel="ugc" href="https://huggingface.co/FFusion/400GB-LoraXL/tree/main"><strong><u><img src="https://huggingface.co/FFusion/400GB-LoraXL/resolve/main/images/image9.jpg" alt="400GB FFusion Lora XL 9" /></u></strong></a></p><h3 id="heading-41">HowMuch ???</h3><p><a target="_blank" rel="ugc" href="https://img.shields.io/badge/60%25%20of%20the%20Time-It%20Works%20Every%20Time-green"><strong><u><img src="https://img.shields.io/badge/60%25%20of%20the%20Time-It%20Works%20Every%20Time-green" alt="60% Works" /></u></strong></a></p><p><strong>Have you ever asked yourself, "How much space have I wasted on </strong><code>*.ckpt</code> and <code>*.safetensors</code> checkpoints?" 🤔 Say hello to HowMuch: Checking checkpoint wasted space since... well, now!</p><p>😄 Enjoy this somewhat unnecessary, yet <strong>"fun-for-the-whole-family"</strong> DiskSpaceAnalyzer tool. 😄</p><h2 id="heading-42">Overview</h2><p><code>HowMuch</code> 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 <code>.ckpt</code> and <code>.safetensors</code>.</p><p>It outputs:</p><ul><li><p>The total storage capacity of each scanned drive or directory.</p></li><li><p>The space occupied by <code>.ckpt</code> and <code>.safetensors</code> files.</p></li><li><p>The free space available.</p></li><li><p>A neat bar chart visualizing the above data.</p></li></ul><h2 id="heading-43">Installation</h2><p><a target="_blank" rel="ugc" href="https://github.com/1e-2/HowMuch"><strong><u>GitHub</u></strong></a></p><h3 id="heading-44">From PyPI</h3><p>You can easily install <code>HowMuch</code> via pip:</p><pre><code>pip install howmuch
  </code></pre><h3 id="heading-45">From Source</h3><ol><li><p>Clone the repository:</p><pre><code>git clone https://github.com/1e-2/HowMuch.git
  </code></pre></li><li><p>Navigate to the cloned directory and install:</p><pre><code>cd HowMuch
  pip install .
  </code></pre></li></ol><h2 id="heading-46">Usage</h2><p>Run the tool without any arguments to scan all drives:</p><pre><code>howmuch
  </code></pre><p>Or, specify a particular directory or drive to scan:</p><pre><code>howmuch --scan C:
  </code></pre><h3 id="heading-47"><br />🌐 <a target="_blank" rel="ugc" href="http://FFusion.ai"><strong>FFusion.ai</strong></a><strong> Contact Information</strong></h3><p><em>Proudly maintained by Source Code Bulgaria Ltd &amp; Black Swan Technologies.</em></p><ul><li><p>📧 <strong>Email Us</strong>: <a target="_blank" rel="ugc" href="mailto:di@ffusion.ai">di@ffusion.ai</a> - For inquiries or support.</p></li><li><p>🌍 <strong>Locations</strong>: Sofia | Istanbul | London</p></li></ul><p><strong>Connect with Us:</strong></p><ul><li><p>🐙 <a target="_blank" rel="ugc" href="https://github.com/1e-2">GitHub</a></p></li><li><p>😊 <a target="_blank" rel="ugc" href="https://huggingface.co/FFusion">Hugging </a><a target="_new" rel="ugc" href="https://chat.openai.com/c/4440256e-8c09-4f2e-ab25-1c9abfbf67f9#">Face</a></p></li><li><p>💡 <a target="_blank" rel="ugc" href="https://civitai.com/user/idle/models">Civitai</a></p></li></ul><p><strong>Our Websites:</strong></p><ul><li><p>🌐 <a target="_blank" rel="ugc" href="http://FFusion.ai">FFusion.ai</a></p></li><li><p>🌌 <a target="_blank" rel="ugc" href="http://FFAI.eu">FFAI.eu</a></p></li><li><p>🔗 <a target="_blank" rel="ugc" href="http://1e-2.com">1e-2.com</a></p></li></ul>
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