Bluvoll/MageTrail-Shared-AdaLN-SVD

AI model by Bluvoll

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An experimental rank-256 compression of RicemanT/MageTrail, a full finetune of Mage-Flow. This release reduces its AdaLN parameter count to make full finetuning more accessible. Built with mage-flow-trainer. Shared low-rank conditioning, separate per-block AdaLN heads: a single 3072→256 projection feeds independent image/text modulation heads in all 12 blocks. The blocks retain their own modulation; they do not all share identical AdaLN outputs. The conversion uses calibrated timestep features and FP64 QR-based SVD (gesvd). This checkpoint is the SVD-converted model, without subsequent image-training or gradient-based distillation. Saved modulation factors are FP32; the remaining transformer weights are BF16. Click either image to view it at full resolution. For a starting workflow, use Empty Flux 2 Latent, Euler, 32 steps, CFG 4, and 1024×1024. The loader supplies Mage-Flow's shift 6. This is a complete compressed transformer checkpoint, not a LoRA or adapter. It includes the trunk weights and replaces the original block modulation projections.…

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Model overview

Bluvoll/MageTrail-Shared-AdaLN-SVD is a task-unspecified model repository published by Bluvoll on Hugging Face. The source reports the diffusers library.

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Model facts

Task: Not reported
Library: diffusers
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: mit
Access: Not gated by Hugging Face
Created: 2026-09-16T06:23:53.000Z
Last modified: 2026-09-16T06:26:28.000Z

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Reported base models: RicemanT/MageTrail

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