10Eros_Max beta2 × MiniMax H3 ref2va — INT8 ConvRotAn int8_convrot quantization of TenStrip's 10Eros_Max work on the MiniMax H3 ref2va (reference-to-video-audio) variant, at less than a third of the bf16 size. Drop-in for standard H3 ref2va workflows: same loaders, same native int8 kernels as the official Comfy-Org int8 files, no LoRA node, no custom nodes.What it is (per TenStrip, the author). This build is Wan VACE layers on H3 out_proj, plus Krea2 turbo weights across the mid-late blocks, on top of the beta2 Wan attention graft — then merged with Silver's turbo and the timetable layer restoration. It is an early experimental turbo merge (a first test build at the time of quantizing), not a finished release.Intended use. Primarily for video reference and fast multi-video reference — this is a turbo/video-oriented model. For pure image reference, TenStrip's FL model performs better and is the recommended choice. Match the model to the task: this one for video/multi-video reference scenarios, the FL model for image reference.Quantization fidelity. Quantized with ComfyUI's own <code>TensorWiseINT8Layout</code> convrot quantizer (group-wise Hadamard rotation, groupsize 256, deterministic rounding) — the same code path behind the official int8_convrot releases — using the official ref2va int8 file as a structural template. Calibration against that official file: 100% of elements within ±1 quantization step; all <code>comfy_quant</code> configs and unchanged tensors byte-identical to the official release. Expect ordinary int8-vs-bf16 differences, nothing more.Requirements. Standard H3 stack: H3-truncated Qwen3-VL text encoder, MiniMax video + audio VAEs, and a ComfyUI recent enough for native <code>comfy_quant</code> int8_convrot loading (if the official H3 int8 files load for you, this loads). Ref2va prompting uses the official six-section Full-Reference format — see the MiniMax-H3 repo's ref-mode prompt guide.Credits &amp; license. Base model by MiniMax; all 10Eros_Max fine-tune and graft work by TenStrip — all creative credit is theirs. This is a community-made quantization of their released weights, not an official MiniMax or TenStrip release. Use is governed by the MiniMax H3 Community License Agreement (same terms as the source checkpoints — license linked from the base model repo).

10eros_Max_Int8_ref2va_beta2

v1.0 — beta2 · ref2va · s0.80 · int8_convrot (recommended)<ul><li>First release. TenStrip 10Eros_Max beta2 (2026-08-15 upload) transferred to MiniMax H3 ref2va, baked at strength 0.80, native int8_convrot (~21 GB).</li><li>Built from: <code>10Eros_Max_h3_fl2va_beta2_pruned</code> + <code>minimax_h3_ref2va_pruned_bf16</code>; quantization template: official <code>minimax_h3_ref2va_pruned_int8_convrot</code>.</li><li>90 tensors changed vs stock (blocks 0–29: qkv_proj, out_proj, mlp.fc1); everything else byte-identical to the official int8, including all <code>comfy_quant</code> configs.</li><li>Strength 0.80 chosen after full-strength transfer showed occasional artifacting on ref2va; tested clean at 0.80.</li><li>Quantized with ComfyUI's own convrot int8 quantizer; calibration vs the official file: 100% of elements within ±1 step.</li><li>Known limitations: beta2 is an active TenStrip experiment — expect this version to be superseded when beta3 lands. Cross-variant transfer: trained in FL2VA context; reference adherence tested working, but heavy multi-subject scenes may behave slightly differently than stock. Community note from the 10Eros quant ecosystem: judge audio output on your own content.</li></ul>

Files with SHA256: 494ba3a37f29f9fedc0851055c8bee73984bb6106409cd3aa4d779ef175d80bf