Winnougan Presents: 10 Toes INT8 Convrot and FP8
10 Toes V1.3:
What's changed?
Some users reported that V1.2 was too sanitized at times, and not as spicy as V1. V1, however, struggled at some SFW images and was throwing in naughty bits when not wanted.
I decided to go back to the kitchen and do some more cooking. After several tests, I finally came out with goose's golden egg. And here we are with files to satiate any gooner's wildest needs. We have:
BF16, FP8, INT8 Convrot and GGUF variants: Q8 and Q4.Updated workflow: Winnougan_10ToesV1.3_Krea_2_WF - Pastebin.com
The workflow includes BF16, FP8, INT8 Convrot or GGUF with a simple switch.
The workflow is dead simple with a little RTX Upscaler thrown in for good measure.
Need help? Join my Discord. Wanna support me? Ko-fi please. Links at bottom of this post.
10 Toes V1.2:
Winnougan 10 Toes V1.2 — Available Versions
Three versions are available depending on your hardware and priorities:
BF16 — the original, full precision. Best quality, highest VRAM requirement. Use this if you have the headroom.
FP8 — lighter quantization with minimal quality difference from BF16. Good starting point for most users, works on any recent GPU, fastest inference of the two quantized versions.
INT8 ConvRot — most aggressive VRAM reduction, using group-wise Hadamard rotation (group size 256) to suppress outliers before INT8 quantization. Best quality-to-size ratio for Ampere GPUs (RTX 3000 series and newer). Slightly slower than FP8 but noticeably more VRAM-efficient.
All quantized versions converted with convert_to_quant v1.3.1 on an RTX 4090.
Which should I use?
8GB VRAM or less → INT8 ConvRot
10–12GB VRAM → FP8
16GB+ VRAM → BF16
10 Toes' Genesis:
This model is proper filthy. Everything was made locally on my RTX 4090. I've been making Krea 2 LoRAs since day 1 of the model's launch in AI Tookit. I've made a few tutorials on the matter on YouTube: Winnougan - YouTube
I made a few secret recipes NSFW LoRAs that I never released with over 5k high resolution images in my dataset. I trained that LoRA with the help of all the NSFW LoRAs from Civitai Red in Krea 2. I love all the NSFW LoRAs out there - they're all awesome. With my new LoRAs made, I burnt them into the DNA of the BF16 Krea 2 Tubo checkpoint. My jaw hit the floor like Roger Rabbit catching a glimpse at Jessica Rabbit for the first time. The images had perfect glowing skin. All the mature prompts came through with flying colors.
I'm proud to present this model for you guys to goon to. As always, bring your soft Egyptian cotton sock and a jar of mayonnaise or a well-lubed fleshlight and get ready.
Since this is a Krea 2 Turbo checkpoint, I recommend the following settings:
CFG 1, 8-9 steps, Scheduler: Euler/Euler Ancestral or Er_SDE, Sampler: Beta/SimpleI've included a link to my workflow. If you have questions come to my Discord - it's full of gooners and AI bros like you.
🚨Important🚨:
These are the different file types:
BF16 (full model)
FP8 (for 40xx and 50xx Nvidia GPUs)
INT8 (for 30xx, 40xx and 50xx Nvidia GPUs - 25% speed up with Q8 quality!)
GGUF: Q4 and Q8
🚨Important🚨:
There are two convrot models for you to download: INT8 and INT4. The savings of using them are massive, no matter your GPU. For the fastest speeds, use INT4. For the highest quality and very fast speed, use INT8.
What the fuck is "INT8 and INT4 Convrot" bro?
Good question - it's an optimized INT8 and INT4 quantization that let's you goon hard and fast in ComfyUI. If you're running the nightly build of Comfy, with Pytorch 2.10 or higher, Python 3.12 or higher and cu130 or higher, then you're golden. It adds significant speeds to your renders. I've also uploaded on Huggingface the text encoders in INT8 Convrot too!
Consider supporting me on Ko-fi. Even $3 goes a long way!
I'm burning through resources, electricity bills and shaking with fear if anything should happen to my ram sticks or SSDs in this alternate reality where ram costs more than a G-Wagon.
👇🏻👇🏾Support me below 👇🏿👇🏼
💚 Workflow: (https://pastebin.com/nHWpSccV)
💙 Support on Ko-fi: (https://ko-fi.com/winnougan)
I'm saving toward a hardware upgrade so I can expand into Ideogram 4 and LTX-2.3 video LoRAs and deliver releases faster. Every coffee helps make it happen. ☕
All LoRAs have the last 4-8 epochs available for members on Ko-fi along with datasets and sample training images.
🖤 YouTube — Tutorials and reviews: https://www.youtube.com/@Winnougan
💀 Discord — Releases, requests, and conversation: https://discord.gg/CJv5wceJaN
Description
FAQ
Comments (33)
any plan to do a non turbo (raw) version?
Yeah I could
Version 1.2 improved aesthetics and fixed the randomly appearing semen, but it led to a decrease in prompt adherence and a reduction in NSFW expressiveness. This is truly a sad story. The images I uploaded to the gallery show these issues, and I hope they can be resolved in future versions.
The image on the left shows version 1.0, and the image on the right shows version 1.2.
Looking at the model safetensors file header metadata, we can see the LoRA strengths for each version; v1.0 has realism_engine_krea2_v2 at strength 0.4, snofs_krea_v1 at 0.4, Krea NSFW+ at 0.3, KNPV4.1_pre at 0.5 and too-much-cum-krea2-v1 at 0.3, while v1.2 has only realism_engine_krea2_v3.1 at strength 0.3, snofs_krea_v1 at 0.3 and KNPV4.1_pre at 0.3
So when using v1.2 you can probably restore some capabilities by adding one or two of those LoRAs at a low strength.
Your pics look awesome. I will keep tweaking it
@critissues It works, thank you!
I also discovered it.
Version 1.3 coming tomorrow. It should solve those problems. I sat down with Claude Opus 4.8 to device a better strategy to balance NSFW with SFW so you can "have your cake and eat it too".
Alright, version 1.3 has fixed your issues. In fact, all of your "problem" prompts are going to be featured as the examples for volume 1.3 so you can see it's working as you wish. I aim to deliver. A sleepless night indeed
V1.3 is uploaded with your @zccl exact prompts
@Winnougan Thank you! I'm going to try it!
fp8 vs mxfp8. Which is better for a 5080?
INT8 is the best bare none for any GPU. Second choice is FP8. Then BF16.
As I understand mxfp8 gives slightly better quality while having close to or better speed than fp8 (newer better version of fp8) but only works on 50xx gpu's.
When I tested them both with SageAttention+fp16 accumulation, fp8 was faster and more stable (5070ti).
mxfp8: ~1.3s/it (~14s/image)
fp8: 1.09it/s (8s/image)
Bro why is there so much difference between int8 and fp8, I tried int8 for the first time today and int8 is so much blurry and artifact prone compared to fp8
Specially with LoRAs
INT8 was used for 80% of the images you see. You'll need to update your ComfyUI to nightly though. You can just use FP8 or BF16
@Winnougan Damn, I tried. Sucks that I can't get results like yours cause int8 is really fast. Great model from your side though and very prompt adherent especially v1.0. You should try adding the new realism engine that just got released for the next version. Keep up the efforts!
@Winnougan You should also try the fp8 v1 version with ER SDE beta at 12 steps its so much sharper and stable with near to none artifacts
99% of the time its the user's fault and not the models fault. Source: I've been using ComfyUI and doing SD related work since 2022. Check how you are generating. The answer lies there.
great modell, it works perfect with custom loras!
Thank you
Winnougan my man you're the best, you absolutely killed it with V1 and V3, V3 is INSANE but V1's prompt following is much better.
thank you so much, love your youtube too !
Thank you! Appreciate the kind words!
GREAT MODEL! Most realistic looking results compared to all the other models on this site rn. Int8 convrot also works great with this new version and its really really sharp!
Things that could be improved; the new model has a certain bias towards making all photos upper body focused, which kinda is making its NSFW pose capabilities suffer too. But still its very capable!
I'm using int8 version and it gives a warning message. The generation is fine but I'm letting you know because other models don't give this warning: [WARNING] unet unexpected: ['model.diffusion_model.blocks.0.attn.gate.comfy_quant', 'model.diffusion_model.blocks.0.attn.wk.comfy_quant', 'model.diffusion_model.blocks.0.attn.wo.comfy_quant', 'model.diffusion_model.blocks.0.attn.wq.comfy_quant', 'model.diffusion_model.blocks.0.attn.wv.comfy_quant', 'model.diffusion_model.blocks.0.mlp.down.comfy_quant', 'model.diffusion_model.blocks.0.mlp.gate.comfy_quant', 'model.diffusion_model.blocks.0.mlp.up.comfy_quant', 'model.diffusion_model.blocks.1.attn.gate.comfy_quant', 'model.diffusion_model.blocks.1.attn.wk.comfy_quant', 'model.diffusion_model.blocks.1.attn.wo.comfy_quant', 'model.diffusion_model.blocks.1.attn.wq.comfy_quant', 'model.diffusion_model.blocks.1.attn.wv.comfy_quant', 'model.diffusion_model.blocks.1.mlp.down.comfy_quant', 'model.diffusion_model.blocks.1.mlp.gate.comfy_quant', 'model.diffusion_model.blocks.1.mlp.up.comfy_quant', 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There were almost no issues in versions 1.0 and 1.2, but in version 1.3, skin cracking problems (stains appearing, effects resembling cracked leather, or veins being horribly emphasized) occur very frequently. I have only used the int8 version. 😢😢
Can we get a INT4 version of this? Would love to have additional storage savings
Great checkpoint - thanks! fp8 works well with low VRAM.
This checkpoint is great in every way, except for one annoying thing: the characters can't stop sticking out their tongues...