Instructions to use AlekseyCalvin/RCA_AgitpropAnimation_Wan1.3B_rank64_T2V_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/RCA_AgitpropAnimation_Wan1.3B_rank64_T2V_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/RCA_AgitpropAnimation_Wan1.3B_rank64_T2V_LoRA") prompt = "RCA style agitprop crisp animation by a Communist party" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- e824b652802da0810869084762e52f51ac897b0be2fff14891b1e210cc014a3d
- Size of remote file:
- 175 MB
- SHA256:
- 2658001fa2aeb9fb7bfcda4407caa0b3651c5701764042f647fb89a64794ad88
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