Instructions to use diffusion-gif/any2ego with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusion-gif/any2ego with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("diffusion-gif/any2ego") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
init: Any2Ego checkpoint models/Wan2.1-VACE-1.3B/Wan2.1_VAE.pth
Browse files
models/Wan2.1-VACE-1.3B/Wan2.1_VAE.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:38071ab59bd94681c686fa51d75a1968f64e470262043be31f7a094e442fd981
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size 507609880
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