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int8 SafeTensor
Krea2_Center_v3_1_int8_mt.safetensors
8-bit integer, smaller file • 12.57 GB
Verified: 2 months ago
INT8 ConvRot Learned (Experimental)
Uses AdaRound + Prodigy Adaptive learned quantization.
Compared to the previous INT8 ConvRot release, this version preserves significantly more fine detail and is visually much closer to the BF16 model in my testing, while retaining the same memory savings.
This is an experimental learned INT8 ConvRot. It aims to better preserve fine details and structural accuracy compared to the previous INT8 ConvRot. The improvements are often subtle and may be most noticeable in complex scenes, faces, clothing, armor, and other highly detailed subjects.
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1.2K0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K
4.9K0 1 2 3 4 5 6 7 8 9.0 1 2 3 4 5 6 7 8 9K

License:
Update:
- V3 is about half RAW still runs at 8-12 steps.
- Added V3 FP8.
- Added V3 Int4 ConvRot SR (stochastic rounding).
⚠️ IMPORTANT — Applies to v1.0, v1.1,v2, v3 ⚠️
❌ Do NOT use the INT8 Fast custom node.
This checkpoint is already in native ComfyUI INT8 (ConvRot) format.
✅ Use the standard ComfyUI Load Diffusion Model node.
Requirements
- ComfyUI v0.27+
- ComfyUI Kitchen
Krea2 Center v1: similar, experimenting with some block merging.
Krea2 Center v0.5 explores whether Krea2 can become more expressive through carefully balanced LoRA merging while preserving the model's realism, flexibility, and overall character. The goal isn't to replace Krea, but to gently extend its emotional range across portraits, fantasy, sci-fi, and stylized scenes.
Added Int8: about 25% faster on 50 series Nvidia don't have a 40 or 30 series to test.
Krea 2 is licensed under the Krea 2 Community License Agreement. For more information, visit https://krea.ai/krea-2-licensing.

