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finetrainers/Wan2.1-T2V-1.3B-3dgs-v0
Wan2.1-T2V-1.3B-3dgs-v0 is a text-to-video model from finetrainers. Use it when you need video from a text prompt. It is set up for diffusers. The card lists the license as other.
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From the Hugging Face model README
This is a LoRA fine-tune of the Wan-AI/Wan2.1-T2V-1.3B-Diffusers model on the finetrainers/3dgs-dissolve dataset.
Code: https://github.com/a-r-r-o-w/finetrainers
[!IMPORTANT] This is an experimental checkpoint and its poor generalization is well-known.
Inference code:
import torch
from diffusers import WanPipeline
from diffusers.utils import export_to_video
pipe = WanPipeline.from_pretrained(
"Wan-AI/Wan2.1-T2V-1.3B-Diffusers", torch_dtype=torch.bfloat16
).to("cuda")
pipe.load_lora_weights("finetrainers/Wan2.1-T2V-1.3B-3dgs-v0", adapter_name="wan-lora")
pipe.set_adapters(["wan-lora"], [0.5])
video = pipe("<my-awesome-prompt>").frames[0]
export_to_video(video, "output.mp4", fps=24)
Training logs are available on WandB here.