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vjepa_21_t2i_adapter_sd15
abdullah-hmed/vjepa_21_t2i_adapter_sd15
vjepa_21_t2i_adapter_sd15 is a machine learning model from abdullah-hmed. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A T2I Adapter trained on VJEPA 2.1 embeddings, to reconstruct the embeddings back into pixel space.
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Public
Updated May 22, 2026
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3.9 GB
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At a glance
- Access
- Public
- Created
- May 12, 2026
- Updated
- May 22, 2026
- SHA
- e9094330
Model card
From the Hugging Face model README
A T2I Adapter trained on VJEPA 2.1 embeddings, to reconstruct the embeddings back into pixel space.
Some Examples:
P.S. Most of these examples were generated using the LCM Scheduler + LCM LoRA for 2-4 step per frame generations. Using DDIM would yield much better results, and generate much more faithful colors
<video src="https://huggingface.co/abdullah-hmed/vjepa_21_t2i_adapter_sd15/resolve/main/examples/input_comparison_20260513_095924.mp4" controls autoplay loop width="600"></video>
<video src="https://huggingface.co/abdullah-hmed/vjepa_21_t2i_adapter_sd15/resolve/main/examples/birb_comparison_20260513_022009.mp4" controls autoplay loop width="600"></video>
Even facial details are conserved if the face occupies a significant part of the frame
<img src="https://huggingface.co/abdullah-hmed/vjepa_21_t2i_adapter_sd15/resolve/main/examples/bale_comparison_20260514_111333.png" width="600"/> <img src="https://huggingface.co/abdullah-hmed/vjepa_21_t2i_adapter_sd15/resolve/main/examples/IMG_9066_comparison_20260515_033902.png" width="600"/>- Created
- May 12, 2026
- Updated
- May 22, 2026