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bf16 SafeTensor
OurSecret_v2_bf16.safetensors
BF16, good balance • 23.88 GB
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# OurSecret v2 (Krea 2 Foundation)
Hi everyone,
Following the amazing support and feedback on v1.0, here is OurSecret v2.0 !
For this update, I focused on refining what could be improved based on Output and community : better anatomical consistency in complex poses, sharper prompt adherence, and cleaner background details, while keeping that natural skin texture and high-fashion lighting.
Thank you again to everyone who tested, reviewed, and posted images with the first version !
### What is OurSecret?
OurSecret is designed as a versatile, true all-rounder foundation model based on Krea 2 (Turbo). It handles high-fashion portraits, cinematic storytelling, urban architecture, and tactile macro objects with equal ease.
And for those wondering: yes, the model can generate detailed NSFW content cleanly if you prompt for it.
### How to use in ComfyUI:
You can run this model directly using the official ComfyUI Krea 2 Turbo workflow:
1. Place the downloaded model file into your directory: ComfyUI/models/diffusion_models/
2. Select it inside the diffusion loader node.
(Note: The GGUF version requires a dedicated GGUF loader node in ComfyUI, such as "Unet Loader (GGUF)", to be used properly).
### Recommended Settings:
- Sampler: er_sde (recommended for organic filmic grain) or euler
- Scheduler: simple
- Steps: 8 to 12 steps
- CFG: 1.0 (keep it strictly at 1.0)
### Available Files (v2.0):
- BF16: The complete, uncompressed 23.8 GB master archive for maximum archival precision.
- FP8 (float8_e4m3fn): The 11.9 GB daily driver version with uncompromised quality for 12GB+ GPUs.
- INT8 TensorWise: 11.9 GB, specifically optimized for hardware matrix math on modern RTX cards.
- Q4_0 GGUF: 6.7 GB lightweight version for 6GB to 8GB VRAM setups, running smoothly without noticeable artifacts.
All showcase preview images and presentation visuals were generated directly on the FP8 version.
Feel free to post your generations and settings in the gallery below. Looking forward to your thoughts on v2!


