jaystack.dev
d22cc94f53
fix: ensure LTXAVTEModel uses half-precision for SageAttention compatibility
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- Add automatic detection and default to bfloat16 (or fp16 fallback) when no explicit dtype is provided, based on device capabilities
- Respect provided dtype_llama/dtype consistently across Gemma model, projection layer, and connectors
- Remove forced `out.float()` in encode_token_weights to prevent downgrading to fp32 after projection
- This allows SageAttention's optimized kernel to run instead of falling back to PyTorch attention
Fixes the warning:
"Error running sage attention: Input tensors must be in dtype of torch.float16 or torch.bfloat16, using pytorch attention instead."
2026-01-15 14:44:03 -05:00
Jukka Seppänen
be518db5a7
Remove extraneous clip missing warnings when loading LTX2 embeddings_connector weights ( #11874 )
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2026-01-14 17:54:04 -05:00
comfyanonymous
25bc1b5b57
Add memory estimation function to ltxav text encoder. ( #11716 )
2026-01-07 20:11:22 -05:00
comfyanonymous
34751fe9f9
Lower ltxv text encoder vram use. ( #11713 )
2026-01-07 19:12:15 -05:00
comfyanonymous
3cd7b32f1b
Support gemma 12B with quant weights. ( #11696 )
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2026-01-07 05:15:14 -05:00
comfyanonymous
023cf13721
Fix lowvram issue with ltxv2 text encoder. ( #11675 )
2026-01-06 17:33:03 -05:00
comfyanonymous
f2b002372b
Support the LTXV 2 model. ( #11632 )
2026-01-05 01:58:59 -05:00
comfyanonymous
3e8155f7a3
More flexible long clip support.
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Add clip g long clip support.
Text encoder refactor.
Support llama models with different vocab sizes.
2025-04-15 10:32:21 -04:00
comfyanonymous
5e16f1d24b
Support Lightricks LTX-Video model.
2024-11-22 08:46:39 -05:00
