Felldude/MiniMaxImage_hdr_diffusers_vae

just landed · new, unvettedmodel

New, unvetted: created or first seen in the last few days, not from a trusted org and not past the signal threshold yet.

The HDR VAE behaves as an enhancement-oriented reconstruction operator rather than a pixel-preservation model, producing measurable changes to image characteristics during reconstruction. 584M params. License: bigscience-openrail-m.

Org: Felldude
Released: 2026-11-10
Status: just landed · new, unvetted
License: bigscience-openrail-m (restricted)
Parameters: 584M
Signal: 21 HF likes · 498 downloads

Runs on

estimate from params; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.

Q4 ~1.9 GB (estimated size): no listed device
Q8 ~2.1 GB (estimated size): no listed device
FP16 ~2.7 GB (estimated size): 8GB GPU (4060 / 3070), 12GB GPU (RTX 3060), 16GB GPU (5060 Ti / 4060 Ti / 4080 / 5080), 24GB GPU (3090 / 4090), 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), 16GB GPU (7800 XT / 9070 XT), 24GB GPU (7900 XTX), Strix Halo 128GB unified (~96GB usable), Arc B60 24GB, Arc B70 32GB, Mac 16GB, Mac 24GB, Mac 36GB, Mac 48GB, Mac 64GB (M1 Max), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 32GB RAM (slow), CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

Felldude/MiniMaxImage_hdr_diffusers_vae

Runs on

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