Instructions to use AlekseyCalvin/ACTsoonrWan1.3_IdentityLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/ACTsoonrWan1.3_IdentityLoRA 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/ACTsoonrWan1.3_IdentityLoRA") prompt = "movie clip of [actsoonr], cinematic detailed close up scene of actsoonr the skeleton stylist, footage shot on a cell phone, tall, asymmetrical brown-hair, green-eyed" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
ACTsoonr (aka Aleksey Calvin) Identity Model
Text to Video Low Rank Adapter (LoRA)
For the Wan2.1 1.3B T2V Base Model
|||||| By SilverAgePoets.com ||||||
A lo-fi video model adapter to re-produce and liven up a tad a few projections of our selves, etc etc...
Trigger words
Prompted with movie clip of [actsoonr], cinematic detailed close up scene of actsoonr the skeleton stylist, footage shot on a cell phone, tall, asymmetrical brown-hair, green-eyed, and suchlike...
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Model tree for AlekseyCalvin/ACTsoonrWan1.3_IdentityLoRA
Base model
Wan-AI/Wan2.1-T2V-1.3B