Unified AI Models Downloader for SwarmUI, ComfyUI, Automatic1111 and Forge Web UI, Forge Web UI Classic and Neo - Supports SD 1.5, SDXL, FLUX, FLUX Krea, FLUX SRPO, Wan 2.1, Wan 2.2, Qwen Image, Qwen Image Edit Plus 2509, SwarmUI presets to generate images and videos with FLUX, Qwen Image, SDXL and Wan 2.1, Wan 2.2 Models and more
Patreon exclusive posts index to find our scripts easily, Patreon scripts updates history to see which updates arrived to which scripts and amazing Patreon special generative scripts list that you can use in any of your task.
Join discord to get help, chat, discuss and also tell me your discord username to get your special rank : SECourses Discord
Please also Star, Watch and Fork our Stable Diffusion & Generative AI GitHub repository and join our Reddit subreddit and follow me on LinkedIn (my real profile)
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Latest zip file : SwarmUI_Model_Downloader_v95.zip
ComfyUI Back-end Installer with Torch 2.8 with CUDA 12.9, Triton (3.4+) and DeepSpeed (0.16.4), insightface (0.7.3), onnxruntime-gpu and Flash Attention (2.8.3 - I compiled for all 4 Python versions), Sage Attention 2.2, xFormers into our VENV Windows : https://www.patreon.com/posts/105023709
Definitely use our ComfyUI solo backend installer otherwise some of the newest stuff may fail
Example existing ComfyUI backend : E:\Comfy_UI_V41\ComfyUI\main.py
Sage Attention is optional
If you use Sage Attention and get black output, enable Display Advanced Options of SwarmUI and go Advanced Sampling and make Preferred DType = Default (16 bit)
If your GPU starts using shared VRAM for any reason, add this command to make it avoid that --reserve-vram 3
This command will preserve 3 GB VRAM for other tasks
It is like --use-sage-attention command
Expired download token refreshed
Presets and bundle downloads updated for Qwen Image Realism
Now on your self trained Qwen Image Models realism is next level here below few examples
Import latest v29 preset file
You can use below presets for such realism
Qwen Image UHD Realism Tier 1 - 8+8 Steps
Qwen Image UHD Realism Tier 2 - 4+4 Steps
Qwen Image Edit Plus UHD Realism - 4+4 Steps
This is for training your subject on Qwen Imaged Edit Plus 2509 model with pure black control images - our Musubi Tuner already have this feature to generate such black control images

Missing LoRA added to bundles
2 LoRAs were downloaded into diffusion_models folder inaccurately and fixed this issue
Few downloaded model names fixed to match presets
Qwen_Image_FP8_Scaled.safetensors download error fixed
There is now 2 presets
Wan 22 Image To Video 4 Steps HQ
Wan 22 Image To Video 8 Steps UHQ
I prefer 8 steps but 4 is also great
Image Generation and Editing Bundle and Qwen Image Core Bundle updated
Qwen Image Edit Plus 2509 is now FP8_Scaled instead of GGUF Q8
Advantage is up to 1.5x more speed on modern GPUs, same quality, lesser VRAM
I did a converter script to convert this model into scaled FP8 and it took huge time
Scaled FP8 is many times more quality than just base FP8
Qwen Image Model updated to Qwen Image FP8 Scaled from GGUF Q8
New Wan 2.2 Image to Video base models added to the Wan 2.2 Core 8 Steps Bundle
I have converted these new models into FP8 Scaled myself
Their names are Wan2.2-I2V-A14B-Moe-Distill-Lightx2v-Low_fp8_scaled and Wan2.2-I2V-A14B-Moe-Distill-Lightx2v-High_fp8_scaled
These models are working without LoRAs with just 4 steps - and quality is amazing
They were published today :)
According to these new models the following presets updated
Qwen Image 50 Steps Official Slow
Qwen Image 8 Realism Fast
Qwen Image 8 Steps Ultra Fast
Qwen Image Edit Plus 12 Steps
Qwen Image Edit Plus 50 Steps
Qwen Image Realism Fast
New preset Wan 22 Image To Video 4 Steps HQ added and I recommend this for image to video generation now - best one and only 4 steps ultra fast
So download these updated bundles, don't worry it won't redownload existing models just new ones
Run Download Qwen Image Core Bundle and Download Wan 2.2 Core 8 Steps Bundle to new models
This is a major update for presets
With ComfyUI installer v56 now we have the missing new Samplers and Schedulers inside SwarmUI such as beta57, bong_tangent, res_2s : https://www.patreon.com/posts/105023709
So make sure to get latest ComfyUI installer zip file and run installer 1 time to get this update
I have updated images of all presets so that it will be way easier to recognize presets
New preset Qwen Image 8 Realism Fast added and it is really really much more realistic
I will hopefully update Qwen LoRA training post and add realistic results soon : https://www.patreon.com/posts/137551634
Of course it is realistic for other LoRAs or no LoRAs too
I did a massive research on Wan 2.2 image generation and we completey remade Wan 22 Image Realism preset
Now it is really really realistic look at this example : https://huggingface.co/MonsterMMORPG/Generative-AI/resolve/main/Wan_2_2.png
This also had our 2x upscale preset applied
For new Wan 2.2 and Qwen Image Realism presets to work you have to update your ComfyUI installation as mentioned above
For this update just import Amazing_SwarmUI_Presets_v24.json and overwrite older ones

Amazing ULR Downloader implemented into the app that lets you download from CivitAI and Hugging Face into relative or absolute path with custom file name support
It uses 16 connections and you can blazing fast download from even CivitAI

Qwen Image Lightning 8steps-V2 LoRA added to the downloader
This is a significant quality improvement compared to V1 and presets updated to use this LoRA
The bundles are also updated to download this new LoRA
FLUX SRPO models added to the downloader
Both BF16 and GGUF are available
FLUX SRPO is extremely realistic model
FLUX Bundle will now download FLUX SRPO BF16 model as well
I have uploaded a metadata fixed, so it will be auto set for you
Fixed metadata of FLUX Kontext Dev model as well with re-upload
Always check metadata of models in SwarmUI and verify accurate
FLUX Dev Models preset info and thumbnail image updated
FLUX Krea Dev Official removed since it is identical of FLUX Dev Models preset
FLUX Dev Models preset supports all FLUX Dev, FLUX Krea and FLUX SRPO
Just change base model
FLUX Kontext Dev Edit Images preset info, thumbnail image and settings updated
Qwen Image Edit Plus models added to the downloader and older Qwen Image Edit model replaced with Plus model in bundle (Qwen Image Edit 2509)
Presets are also updated to use this model
I have personally fixed metadata of the BF16 and FP8 version of the model
For GGUF again make sure that SwarmUI sees as Qwen Image Edit Plus the architecture
I added a json file for bundle downloaded GGUF Q8 so it will auto recognize it
Qwen Image Edit plus supports up to 3 input images so no more image sticthing is necessary and this model has huge quality
We are using Qwen Image Lightning 8steps-V2 LoRA with this model as well
If any better speed up LoRA arrives I will hopefully update
GGUF models are way slower compared to BF16 models on many hardware so if your VRAM is sufficient, prefer BF16 like on RTX A6000 GPUs
If your VRAM is not sufficient still you can compare speed of BF16 vs GGUF and see which one works best on your PC
ComfyUI auto does block swapping so you can even run BF16 on 24 GB GPUs
Make sure you have lots of RAM otherwise block swap will fail and your PC will freeze or use lower quant Like GGUF_8 or GGUF_5 etc
Under Other Models (e.g. Yolo Face Segment, Image Upscaling) section, Download All Auto Yolo Masking/Segment Models updated
Now it has Yolo V12 Large model as well : yolov12l-face.pt
Previously this was not working but after I opened an issue on SwarmUI and we did debug, it is fixed and now working
Face segment bundle is included in Qwen Image Core Bundle, FLUX Models Bundle and HiDream-I1 Dev Bundle
Example usage : photo of a man <segment:yolo-yolov12l-face.pt> a man
Model downloader completeyt refactored for future easier development
Some of the files moved inside utilities folder and content of zip file simplified
Now we are not using Hugging Face downloader anymore and we are using much more robust uGet style 16 connection downloader that I developed
The advantage of this approach is that, it is extremely robust and works perfect even on low speed connections
It has 100% resume capability even if at stops at 99.99% percent
It auto checks SHA256 to verify accuracy of the download so the model is never corrupted
Sometimes you may get errors like on this on SwarmUI : https://github.com/mcmonkeyprojects/SwarmUI/issues/1065
On that case close SwarmUI, run Manually_Rebuild_SwarmUI_On_Errors.bat and restart SwarmUI
This will SwarmUI to compile necessary libraries on next run again
Use Windows_Preset_Delete_Import.bat to delete your all previous presets and import new updated ones : Amazing_SwarmUI_Presets_v22.json
Hopefully I will look for newer Wan 2.2 and Wan 2.1 speed up LoRAs to update presets even better quality
I recommend using 12 Steps Qwen Image Edit Plus and 8 Steps Qwen Image presets rather than 50 steps ones
Main ComfyUI + SwarmUI setup tutorial (4 May 2025) : https://youtu.be/fTzlQ0tjxj0
Wan 2.1 Tutorial shows how to use LoRA as well (19 May 2025) : https://youtu.be/XNcn845UXdw
ComfyUI + SwarmUI RunPod master tutorial (10 June 2025) : https://youtu.be/R02kPf9Y3_w
SwarmUI Wan 2.1 FusionX + Image Upscale tutorial (18 June 2025) : https://youtu.be/Xbn93GRQKsQ
SwarmUI FLUX Kontext (Ultimate image editing with just prompts) tutorial (27 June 2025) : https://youtu.be/adF9X9E0Chs
MultiTalk (image + audio = full animated lip synched video) main tutorial (ComfyUI only) (10 July 2025) : https://youtu.be/8cMIwS9qo4M
MultiTalk new workflows tutorial (ComfyUI only) (12 July 2025) : https://youtu.be/wgCtUeog41g
Wan 2.2 & FLUX Krea Full Tutorial - Automated Install - Ready Perfect Presets - SwarmUI with ComfyUI (2 August 2025) : https://youtu.be/8MvvuX4YPeo
Qwen Image Dominates Text-to-Image: 700+ Tests Reveal Why It's Better Than FLUX - Presets Published (7 August 2025) : https://youtu.be/R6h02YY6gUs
Wan 2.2, FLUX & Qwen Image Upgraded: Ultimate Tutorial for Open Source SOTA Image & Video Gen Models (19 August 2025) : https://youtu.be/3BFDcO2Ysu4
Qwen Image Edit Full Tutorial: 26 Different Demo Cases, Prompts & Images, Pwns FLUX Kontext Dev (23 August 2025) : https://youtu.be/gLCMhbsICEQ
Python 3.10, FFmpeg, CUDA 12.8, cuDNN 9.7 or above, C++ tools and Git
If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial
Requirements are important to have CUDA, C++ Tools, MSVC
Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute
Use our coupon SECourses
Our coupon works on all GPUs now
H100 has amazing price and speed but you can use like RTX A6000 ADA as well
Full details here : https://www.patreon.com/posts/26671823
Then select our image SECourses from Creator dropdown
Then follow Massed_Compute_Instructions_READ.txt
Same as my any other Massed Compute installer script
Example tutorial for learn how to install and use Massed Compute
(Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778
Please register via this link : https://runpod.io?ref=1aka98lq
Then follow Runpod_Instructions_READ.txt
Same as my any other RunPod installer script
Use the template written in Runpod_Instructions_READ.txt file
Example tutorial for learn how to install and use RunPod
(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323





The unified AI models downloader now supports newest Stable Diffusion WebUI Forge - Classic : https://www.patreon.com/posts/138680643
The unified AI models downloader now supports newest Stable Diffusion WebUI Forge - NEO : https://www.patreon.com/posts/138694680
Just check the checkbox for these 2 apps:
Forge WebUI / Automatic1111 Folder Structure
Example path : E:\Forge_Neo_v1\sd-webui-forge-classic\models
Demo images zip file upgraded to V3 since we published Nano Banana free image editing tutorial and compared it with Qwen Image Edit model for every case
Full tutorial link : https://youtu.be/qPUreQxB8zQ
A LoRA selection error of Qwen Image Edit model preset fixed with Amazing_SwarmUI_Presets_v21.json
Image upscale preset unified into single one
First use your regular preset then plus apply it
Prompt file modified to FLUX_Kontext_Qwen_Edit_Prompts.txt
Contains 26 unique cases and total 40 prompts
Demo images and results added, results have metadata so you can see and replicate
If Sage Attention on vs off, produces different results
Hugging Face download errors fixed
Use latest zip file extract and overwrite
Don't forget to edit metadata of the Qwen Image Edit model and set architecture of the model as Qwen Image Edit since it is not auto recognized yet
I have added 2 new presets called as Qwen Image Edit 50 Steps and Qwen Image Fast 12 Steps
Qwen Image Fast 12 Steps takes 30 seconds on RTX 5090
Qwen Image Edit 50 Steps takes 128 seconds on RTX 5090
Here a comparison of org image vs 12 steps vs 50 steps : https://imgsli.com/NDA4MTU1
Prompt is : change hair color to blue
The presets are using Qwen Image Edit model GGUF Q8 but you can use lower GGUF too
Our downloader has BF16, FP8, GGUF Q8, Q6, Q5, Q4
First update your ComfyUI and SwarmUI to latest version as shown in this tutorial and import presets and apply them : https://youtu.be/3BFDcO2Ysu4
This model doesn't work with input image but rather it takes input image from prompt like in FLUX Kontext : https://youtu.be/adF9X9E0Chs
This model doesn't support inpainting
Hopefully I will make a new tutorial for this but even ComfyUI official workflow is so bad atm - our preset way better
So we need some more time for this model to become better
Our Windows_Start_Download_Models_App.bat now have Qwen Image Edit model and it is also included in SwarmUI Qwen Image core bundle
SwarmUI update file will now auto install RIFE frame interpolation and Teacache
So just download bundle to download this model - it won't redownload existing models
Use latest zip file extract and overwrite
Full how to use tutorial published : https://youtu.be/3BFDcO2Ysu4
New following presets added and now we have Windows_Preset_Delete_Import.bat file
Execute this file while SwarmUI running, it will backup your existing presets into presets_backups folder, then delete all your presets and import newest presets
The added presets are
Qwen Image 8 Steps Ultra Fast 2x Upscale : Really upscales amazingly Qwen Image generations and fast too
You can increase steps count to 20 if not good enough
Wan 22 High Quality I2V 20 Steps : Super high quality but slow
Wan 22 High Quality T2V 20 Steps: Super high quality but slow
Wan 22 Image To Video 8 Steps: Really decent quality and ultra fast
Wan 22 Text To Video 8 Steps: Really decent quality and ultra fast
Wan 22 Image Realism: Super high quality and fast
This preset generates static images unlike videos
Wan 2.2 Image Generation Test Grids
Preparing these very best presets literally took days and 100s of generations and comparisons
To not delete your older presets, use import and import v15 and overwrite existing, it will only overwrite same name presets
On RunPod and Massed Compute use regular import preset feature same as before
Also use model downloader file and use Wan 2.2 Core 8 Steps Bundle (Total: 70.41 GB, 11 models) to download new 4 LoRAs
It will download new lightx2v Wan2.2-Lightning LoRAs
Some bundle downloads were broken for some LoRAs and these errors fixed
Windows SwarmUI installer will now auto install RIFE Frame Interpolation and Teacache automatically
Download newest v66 zip file, extract and overwrite previous files as usual
New amazing Qwen Image preset added : Qwen Image 8 Steps Ultra Fast
Literally 6x faster than Qwen Image High Quality preset
To use this preset use latest models downloader and download Qwen Image Core Bundle (Total: 30.83 GB, 4 models) or Qwen Image Lightning 8steps V1.1 LoRA (Fast inference LoRA) (1.58 GB)
If you had downloaded older bundle before, it will just download new LoRA
Moreover, import new preset json file and overwrite : Amazing_SwarmUI_Presets_v12.json
All Preset images updated with Qwen Image 8 Steps Ultra Fast preset - so now all preset thumbnails have text to easier recognize
All presets will automatically select accurate models based on our model downloader
I have tested all presets and verified all works
Sage Attention is now working with Qwen Image again - make sure to update your ComfyUI and SwarmUI to the latest version
FLUX Dev Official 2x Latent Upscale preset works with FLUX Krea Dev model as well just change base model
I also tested all best schedulers for FLUX Dev model and updated presets for best one
You can see grid comparison here : click to download
I also have tested new Scheduler named as KL Optimal (Nvidia AYS) with all samplers and it produces some realistic and
I think our very best preset still overall better but it is a good one to test in some cases
You can see its comparison grid here : click to download
Hopefully I will update Wan 2.2 presets with new LoRAs after testing and verifying they are better
Now supports Automatic1111 Web UI and SD Forge Web UI model structure too
Just select Forge WebUI / Automatic1111 Folder Structure checkbox and give model path like below
Windows e.g. : E:\Forge_Installer_v10\stable-diffusion-webui-forge\models
Massed Compute e.g. : /home/Ubuntu/Downloads/Forge_Installer_v10/stable-diffusion-webui-forge/models/,
RunPod e.g. : /workspace/stable-diffusion-webui-forge/models
New tutorial published : Qwen Image Dominates Text-to-Image: 700+ Tests Reveal Why It's Better Than FLUX - Presets Published > https://youtu.be/R6h02YY6gUs
SD Forge Web UI Installers updated for Windows, RunPod and Massed Compute and now supports RTX 5000 series too and working perfect with more robust, easier and faster install : https://www.patreon.com/posts/118442039
The error we were getting when downloading upscale models and face restoration models fixed : exists and seems populated. Skipping snapshot download for
You can download all the grid tests (700+ generations) i did for Qwen Image inference parameter research here : https://huggingface.co/BestModelsv2/test/resolve/main/qwen_image_inference_research_grids.zip
Put the grids into this folder SwarmUI\Output\local\Grids and restart SwarmUI then you will be able to load and see each grid, tested parameters and results in full quality
Moroever I have compared FLUX Dev Official vs FLUX Krea Dev Official vs Qwen Image Realism Fast vs Qwen Image High Quality presets and you can see full quality result grid image here : https://huggingface.co/MonsterMMORPG/Generative-AI/resolve/main/FLUX_vs_Krea_vs_Qwen.png
Hopefully I will fully research Qwen Image training as i did for FLUX and then we will have a new amazing training workflow :
I have generated 600 images to find out the very best presets of Qwen Image model and now 2 new presets added to our presets with Amazing_SwarmUI_Presets_v9 file inside zip file
We have Qwen Image High Quality which generates highest quality overal with maximum prompt following - default negative prompt also set which improves quality further
And there is Qwen Image Realism Fast which is 2x faster since cfg is set to 1
This preset may require more generation to get best result but definitely better realism
Moreover downloader app now have the following models to download with 1 click
Under Image Generation Models under Qwen Image Models
Qwen_Image_Q4_1 (11.96 GB) - Qwen_Image_Q5_1 (14.33 GB) - Qwen_Image_Q6_K (15.67 GB) - Qwen_Image_Q8_0 (20.27 GB) - Qwen_Image_FP8_e4m3f (19.03 GB) - Qwen_Image_BF16 (38.05 GB)
Just use SwarmUI Bundles and then Qwen Image Core Bundle (Total: 29.24 GB, 3 models) and the presets will work right away - uses Q8
Or manually select your model
Q4_1 quality is also amazing so if you are on low VRAM you can use it
Still all models should work if you have sufficient RAM since SwarmUI uses ComfyUI which does auto block swapping
Hopefully tomorrow I will share all grids so that you can download and analyze yourself locally with SwarmUI
Sage attention may cause black output so until fixed disable if you get
AllowGpuSpecificOptimizations inside Server > Server Configuration may cause black output so disable until it is fixed
Update your both ComfyUI and SwarmUI to the latest version
This is clearly the new King of models better than FLUX and hopefully I will cover training fully soon after full research
Image resolution has to be divisible to 16 at the moment so if you get error pay attention to that
Wan 2.2 + FLUX Krea full tutorial published > https://youtu.be/8MvvuX4YPeo
After carefully testing more, bad results yielding presets removed
Thus I recommend delete all previous presets and import new Amazing_SwarmUI_Presets_v8 - screenshot
I also removed the following bundles since they were not necessary anymore with recent LoRAs + base Wan models
Wan 2.1 FusionX FP16 Phantom Bundle
Wan 2.1 FusionX FP8 Phantom Bundle
Moreover, all presets will automatically select models downloaded from our downloader app bundles now so that you won't be needed to manually select presets
The bundles you should download for SwarmUI are as below
Wan 2.2 Core 8 Steps Bundle (Total: 65.84 GB, 7 models) - FP8 Scaled base models + LoRA
Base models can be replaced with other variants like GGUF Q8 or FP16 etc
Wan 2.1 Core Models Bundle (GGUF Q6_K + Best LoRAs) (Total: 36.89 GB, 10 models) - GGUF Q6 base models + LoRA
Base models can be replaced with other variants like GGUF Q8 or FP8 etc
FLUX Models Bundle (Total: 100.77 GB, 10 models)
Base models can be replaced with other variants like GGUF Q8 or FP8 etc
All models still remaining so just search the model name and download whichever you want
Amazing new official FLUX Krea DEV model published
I have added both FP16 and GGUF Q8, Q6, Q5 and Q4 models
Q8 almost same quality as FP16
It is way more realistic here first comparison test I made : https://www.reddit.com/r/SECourses/comments/1me4jkb/flux_krea_dev_is_really_realistic_improvement/
The download button is under Image Generation Models▼ FLUX Models▼ - at the very top
FLUX Models is now seperated into normal Models vs GGUF variants as 2 tabs
Search function significantly improved, just search krea and test
New Wan 2.2 text-to-video high quality preset added
Sadly none of the fast LoRAs of Wan 2.1 working for Wan 2.2 text-to-video greatly so it is best to not use lora and do at least 20 steps until a LoRA is published
Image to video works perfect with our Wan 2.2 bundle LoRA and preset and 8 steps
Both ComfyUI and SwarmUI zip files updated
Now they are more robust to ensure updates goes smooth
Make sure update your ComfyUI backend and SwarmUI
After doing literally 100s of grid Wan 2.2 generations I have prepared amazing 8 steps 2 presets
These presets are even selecting the accurate models and LoRA
First download new SwarmUI bundle : Wan 2.2 Core 8 Steps Bundle (Total: 65.84 GB, 7 models) - use Windows_Start_Download_Models_App.bat from latest zip file
Then import new preset Amazing_SwarmUI_Presets_v6.json
Then reset params to default and direct apply preset you want to use
For text to video model just type your prompt and also set your desired resolution and set your desired Text2Video Frames count - default 73 frames thus 3 seconds (24 fps), for 5 seconds video set 121 frames
For image to video select your input image, type your prompt, set target resolution according to image aspect ratio and set your Video Frames under Image to Video tab - default 73 frames thus 3 seconds (24 fps), for 5 seconds video set 121 frames
Thats all and hit generate and enjoy
I am recording a tutorial video for Wan 2.2 hopefully
Moreover we are using UniPC sampler and Eular Ancestral behaves significantly different you can compare both
I am also using --use-sage-attention which brings good speed up and working great
Also we have Video_Models_Prompt_Generate_Guide.txt file
You can use this file in free Gemini in Google Studio ai to generate amazing prompts, just upload file and write what you want to generate : https://aistudio.google.com/prompts/new_chat (free)
New 4-8 steps LoRA added for Wan 2.1 models
Wan 2.1 14B LightX2V CFG Step Distill LoRA V2 (T2V + I2V) (Rank 64) (0.69 GB)
This LoRA will be now downloaded with bundles
Works great for both image to video and text to video with Wan 2.1 Models
CausVid LoRA preset renamed to LightX2V
Do 4-10 steps, 8 is probably best quality / speed
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2025-07-31 16:04:28 +0000 UTCFurkan Gözükara
2025-07-30 22:27:25 +0000 UTCFurkan Gözükara
2025-07-30 22:26:46 +0000 UTCFurkan Gözükara
2025-07-30 22:26:07 +0000 UTCSerkan köksal
2025-07-29 19:26:39 +0000 UTCpeter realis
2025-07-25 08:28:29 +0000 UTCcouturecz
2025-07-24 15:15:14 +0000 UTCFurkan Gözükara
2025-07-21 00:18:40 +0000 UTCChudJones
2025-07-21 00:07:58 +0000 UTCFurkan Gözükara
2025-07-17 02:29:02 +0000 UTCMatt Lowe
2025-07-17 02:16:19 +0000 UTCFurkan Gözükara
2025-07-16 17:16:59 +0000 UTCChudJones
2025-07-16 17:05:56 +0000 UTCFurkan Gözükara
2025-07-14 20:34:16 +0000 UTCWalker4k
2025-07-14 18:33:49 +0000 UTCFurkan Gözükara
2025-07-13 20:48:35 +0000 UTCFurkan Gözükara
2025-07-13 20:48:01 +0000 UTCFurkan Gözükara
2025-07-13 20:41:29 +0000 UTCFurkan Gözükara
2025-07-13 20:41:18 +0000 UTCFurkan Gözükara
2025-07-13 20:40:52 +0000 UTCFurkan Gözükara
2025-07-13 20:40:29 +0000 UTCFurkan Gözükara
2025-07-13 20:39:32 +0000 UTCDaniel Cardona Ramirez
2025-07-13 16:50:55 +0000 UTCTaiga
2025-07-13 14:53:35 +0000 UTCTaiga
2025-07-13 14:28:31 +0000 UTCTaiga
2025-07-13 10:33:34 +0000 UTCChris
2025-07-13 10:22:48 +0000 UTCChris
2025-07-13 10:04:39 +0000 UTCChris
2025-07-13 07:28:57 +0000 UTCFurkan Gözükara
2025-07-12 13:30:15 +0000 UTCTaiga
2025-07-12 04:40:57 +0000 UTCFurkan Gözükara
2025-07-11 21:49:25 +0000 UTCFurkan Gözükara
2025-07-11 21:49:03 +0000 UTCrevoerom
2025-07-11 21:31:19 +0000 UTCTaiga
2025-07-11 14:21:42 +0000 UTCFurkan Gözükara
2025-07-11 11:50:31 +0000 UTCChris
2025-07-11 09:34:06 +0000 UTCFurkan Gözükara
2025-07-11 01:42:48 +0000 UTCTaiga
2025-07-09 12:40:07 +0000 UTCFurkan Gözükara
2025-07-08 14:11:48 +0000 UTCTaiga
2025-07-08 14:08:42 +0000 UTCFurkan Gözükara
2025-07-05 11:03:52 +0000 UTCAstral Unification
2025-07-05 07:19:42 +0000 UTCFurkan Gözükara
2025-07-04 12:21:55 +0000 UTCWhat to watch high
2025-07-04 12:12:15 +0000 UTCFurkan Gözükara
2025-07-04 01:34:07 +0000 UTCJustin Kupka
2025-07-03 22:16:46 +0000 UTCFurkan Gözükara
2025-06-30 00:14:30 +0000 UTCChris
2025-06-24 18:55:09 +0000 UTCFurkan Gözükara
2025-06-22 19:58:52 +0000 UTCChris
2025-06-20 17:09:16 +0000 UTCFurkan Gözükara
2025-06-20 15:25:29 +0000 UTCChris
2025-06-20 14:51:20 +0000 UTCFurkan Gözükara
2025-06-20 12:46:36 +0000 UTCNara Dhipa
2025-06-20 12:41:12 +0000 UTCFurkan Gözükara
2025-06-06 21:12:11 +0000 UTCYannis
2025-06-05 15:12:31 +0000 UTCFurkan Gözükara
2025-06-02 23:41:12 +0000 UTCJavi Empredu
2025-06-02 23:39:03 +0000 UTCFurkan Gözükara
2025-06-01 22:16:55 +0000 UTCBrett Baker
2025-06-01 22:11:59 +0000 UTCFurkan Gözükara
2025-06-01 21:22:33 +0000 UTCFurkan Gözükara
2025-06-01 21:22:19 +0000 UTCTaiga
2025-05-30 17:08:54 +0000 UTCEc Jep
2025-05-27 19:06:49 +0000 UTCFurkan Gözükara
2025-05-27 12:57:06 +0000 UTCKahlid Seid
2025-05-27 03:49:31 +0000 UTCFurkan Gözükara
2025-05-20 10:34:59 +0000 UTCTenally
2025-05-20 02:10:03 +0000 UTCstphnvdb321
2025-05-19 21:29:56 +0000 UTCstphnvdb321
2025-05-19 18:07:12 +0000 UTCFurkan Gözükara
2025-05-19 00:48:18 +0000 UTCFurkan Gözükara
2025-05-18 14:36:47 +0000 UTCIván López
2025-05-18 14:35:01 +0000 UTCTaiga
2025-05-17 15:59:52 +0000 UTCFurkan Gözükara
2025-05-16 09:20:20 +0000 UTCNeil Rhodes
2025-05-16 09:16:00 +0000 UTCFurkan Gözükara
2025-05-15 23:35:28 +0000 UTCstphnvdb321
2025-05-15 14:17:44 +0000 UTCFurkan Gözükara
2025-05-14 16:45:17 +0000 UTCstphnvdb321
2025-05-14 16:38:48 +0000 UTCFurkan Gözükara
2025-05-13 10:07:39 +0000 UTCLarry Boles
2025-05-12 23:39:43 +0000 UTCPirotech
2025-05-08 21:06:27 +0000 UTCPirotech
2025-05-08 21:05:58 +0000 UTCFurkan Gözükara
2025-04-19 18:50:26 +0000 UTCRichard Postieror
2025-04-19 18:37:09 +0000 UTCFurkan Gözükara
2025-03-30 10:04:35 +0000 UTCChris
2025-03-30 07:42:48 +0000 UTCFurkan Gözükara
2025-03-22 11:25:00 +0000 UTCChris
2025-03-22 10:32:14 +0000 UTCFurkan Gözükara
2025-03-11 23:45:47 +0000 UTCBaekdoosixt
2025-03-11 22:56:30 +0000 UTCFurkan Gözükara
2025-03-11 20:00:47 +0000 UTCBrandon
2025-03-11 19:59:23 +0000 UTCFurkan Gözükara
2025-03-06 15:13:31 +0000 UTCBrett Baker
2025-03-06 15:01:13 +0000 UTCFurkan Gözükara
2025-03-06 14:55:55 +0000 UTCBrett Baker
2025-03-06 14:55:22 +0000 UTCFurkan Gözükara
2025-02-19 06:22:07 +0000 UTCHockey
2025-02-18 20:30:05 +0000 UTCFurkan Gözükara
2025-02-16 16:06:16 +0000 UTCBrett Baker
2025-02-16 15:55:18 +0000 UTCFurkan Gözükara
2025-02-15 23:17:33 +0000 UTCBrett Baker
2025-02-15 20:52:25 +0000 UTCFurkan Gözükara
2025-02-15 12:25:13 +0000 UTCcool1
2025-02-15 12:00:28 +0000 UTCChris
2025-02-15 09:08:24 +0000 UTCFurkan Gözükara
2025-02-13 10:18:26 +0000 UTCNedo Braun
2025-02-13 06:59:47 +0000 UTCFurkan Gözükara
2025-02-13 01:42:33 +0000 UTCFurkan Gözükara
2025-02-12 21:48:16 +0000 UTCBaekdoosixt
2025-02-12 20:47:45 +0000 UTCMarkus
2025-02-12 14:29:28 +0000 UTCRenzo Canepa Garay
2025-02-12 13:45:44 +0000 UTCFurkan Gözükara
2025-02-12 13:24:24 +0000 UTCFurkan Gözükara
2025-02-12 13:23:29 +0000 UTCBaekdoosixt
2025-02-12 13:22:30 +0000 UTCFurkan Gözükara
2025-01-30 19:16:33 +0000 UTCUmut Hasanoglu
2025-01-30 16:05:09 +0000 UTCFurkan Gözükara
2025-01-09 22:38:03 +0000 UTCPhilipp Capetian
2025-01-09 22:28:27 +0000 UTCFurkan Gözükara
2024-12-25 10:03:23 +0000 UTCFurkan Gözükara
2024-12-25 09:59:16 +0000 UTCChris
2024-12-25 08:39:26 +0000 UTCFurkan Gözükara
2024-12-23 11:17:52 +0000 UTCLouis L'herrou
2024-12-23 11:12:42 +0000 UTCMichael Liu
2024-12-23 10:17:41 +0000 UTCFurkan Gözükara
2024-12-23 10:05:34 +0000 UTCFurkan Gözükara
2024-12-23 10:04:47 +0000 UTCNabil Boulezaz
2024-12-23 03:40:03 +0000 UTCMichael Liu
2024-12-23 03:33:14 +0000 UTCFurkan Gözükara
2024-12-04 20:02:14 +0000 UTCError_404_unknown
2024-12-04 19:41:19 +0000 UTCMark Sutherland
2024-11-19 14:40:28 +0000 UTCFurkan Gözükara
2024-11-18 16:17:55 +0000 UTCChristian Schülling
2024-11-18 16:03:02 +0000 UTCFurkan Gözükara
2024-11-15 13:39:19 +0000 UTCChris
2024-11-15 09:08:17 +0000 UTCAsh
2024-11-15 08:19:17 +0000 UTCChris
2024-11-09 12:56:33 +0000 UTCFurkan Gözükara
2024-11-09 10:47:40 +0000 UTCChris
2024-11-09 10:09:04 +0000 UTCFurkan Gözükara
2024-11-08 23:25:23 +0000 UTCMark Sutherland
2024-11-08 23:21:45 +0000 UTCFurkan Gözükara
2024-11-08 22:18:30 +0000 UTCMark Sutherland
2024-11-08 22:14:15 +0000 UTCUmut Hasanoglu
2024-11-08 20:55:04 +0000 UTCFurkan Gözükara
2024-11-08 20:53:18 +0000 UTCFurkan Gözükara
2024-11-08 20:50:31 +0000 UTCFurkan Gözükara
2024-11-08 20:50:15 +0000 UTCChris
2024-11-07 16:55:26 +0000 UTCFurkan Gözükara
2024-11-07 16:21:26 +0000 UTCChris
2024-11-07 16:17:49 +0000 UTCUmut Hasanoglu
2024-11-07 14:54:45 +0000 UTCUmut Hasanoglu
2024-11-07 14:52:14 +0000 UTCFurkan Gözükara
2024-10-30 21:46:18 +0000 UTCDavid Fernández
2024-10-30 21:43:48 +0000 UTC