Instructions to use timduck8/wanpovmiss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/wanpovmiss with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-720P", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("timduck8/wanpovmiss") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
images/1751260672898828907_PgNTXYeu.jpg
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Git LFS Details
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wan2.2_i2v_highnoise_pov_missionary_v1.0.safetensors
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