mirror of https://github.com/vladmandic/automatic
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@ -5,11 +5,11 @@
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### Highlights for 2025-10-28
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- Reorganization of **Reference Models** into *Base, Quantized, Distilled and Community* sections for easier navigation
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- New models: **HunyuanImage 2.1** capable of generating 2K images natively, **Pony 7** based on AuraFlow architecture,
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**Kandinsky 5** 10s video models, **Krea Realtime** autoregressive variant of WAN-2.1
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- New models: **HunyuanImage 2.1** capable of 2K images natively, **Pony 7** based on AuraFlow architecture, **Kandinsky 5** 10s video models
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- New **offline mode** to use previously downloaded models without internet connection
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- Optimizations to **WAN-2.2** given its popularity
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plus addition of native **VAE Upscaler** and optimized **pre-quantized** variants
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- New SOTA model loader using **Run:ai streamer**
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- Optimizations to **WAN-2.2** given its popularity plus addition of native **VAE Upscaler** and optimized **pre-quantized** variants
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- Updates to `rocm` and `xpu` backends
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- Fixes, fixes, fixes... too many to list here!
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@ -164,8 +164,7 @@ def load_upscale_vae():
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return
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if hasattr(shared.sd_model.vae, '_asymmetric_upscale_vae'):
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return # already loaded
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cls = shared.sd_model.vae.__class__.__name__
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if cls != 'AutoencoderKLWan':
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if shared.sd_model.vae.__class__.__name__ != 'AutoencoderKLWan':
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shared.log.warning('Video decode: upscale VAE unsupported')
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return
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@ -176,7 +175,7 @@ def load_upscale_vae():
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vae_decode.requires_grad_(False)
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vae_decode = vae_decode.to(device=devices.device, dtype=devices.dtype)
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vae_decode.eval()
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shared.log.debug(f'Decode: load={repo_id}')
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shared.log.debug(f'Decode: load="{repo_id}"')
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shared.sd_model.orig_vae = shared.sd_model.vae
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shared.sd_model.vae = vae_decode
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shared.sd_model.vae._asymmetric_upscale_vae = True # pylint: disable=protected-access
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