Instructions to use Muapi/readhead_painted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/readhead_painted 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-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/readhead_painted") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
File size: 134 Bytes
027362c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:9472944e9ff27d1abdd69b0e8e450e3fe0d0ddc0f744ea55959a97bb08fcb1e5
size 306848608
|