silentlooop/revt2v-data
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LoRA students distilled from ali-vilab/text-to-video-ms-1.7b to generate video in reverse time from a text prompt, for the revT2V course project.
Methods: attn_rotation, conv_lora, attn_lora (checkpoints live under <method>/latest.pt; root latest.pt is attn_rotation, the baseline).
from revt2v.infer import load_student_for_inference
pipeline, student = load_student_for_inference(
"conv_lora",
checkpoint_dir="results/checkpoints/conv_lora",
hf_repo_id="silentlooop/revt2v-ckpt",
hub_subfolder="conv_lora",
)
Trained on silentlooop/revt2v-data.
Base model
ali-vilab/text-to-video-ms-1.7b