Instructions to use Gjm1234/Wan2.2-I2V-A14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gjm1234/Wan2.2-I2V-A14B-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gjm1234/Wan2.2-I2V-A14B-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
Upload image_encoder/pytorch_model.safetensors with huggingface_hub f4a6c84 verified
Rename image_encoder/pytorch_model.bin to image_encoder/pytorch_model.txt aea33c1 verified
Create pytorch_model.bin df182fe verified
Quick auto-fix: remove recursion + safe handler 697a117
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