Instructions to use AlekseyCalvin/HSToricColorT2VWan1.3B_v2_rank128LoRA_bySilverAgePoets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/HSToricColorT2VWan1.3B_v2_rank128LoRA_bySilverAgePoets 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/HSToricColorT2VWan1.3B_v2_rank128LoRA_bySilverAgePoets") prompt = "HST style analog autochrome film clip, close up" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Upload HSTwan13LoRA2_000003750.safetensors
Browse files
HSTwan13LoRA2_000003750.safetensors
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