Instructions to use EllaPriest45/LiveEdit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EllaPriest45/LiveEdit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EllaPriest45/LiveEdit", 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
Upload 6 files
Browse files- LiveEdit-main.zip +3 -0
- Wan2.1_VAE.pth +3 -0
- ar-forcing_002000.pt +3 -0
- config.json +14 -0
- diffusion_pytorch_model.safetensors +3 -0
- umt5-xxl-enc-fp8_e4m3fn.safetensors +3 -0
LiveEdit-main.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ed405ee339d069a83f313b3c14670ed67219ed35214f0506baa227d4be9c293
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size 1812307
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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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ar-forcing_002000.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:43676999c322ec5f9137f39e3a78d32b48e7d35d8a8f72c0546ad51052953f95
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size 5676719439
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config.json
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{
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"_class_name": "WanModel",
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"_diffusers_version": "0.30.0",
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"dim": 1536,
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"eps": 1e-06,
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"ffn_dim": 8960,
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"freq_dim": 256,
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"in_dim": 16,
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"model_type": "t2v",
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"num_heads": 12,
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"num_layers": 30,
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"out_dim": 16,
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"text_len": 512
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}
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:96b6b242ca1c2f24e9d02cd6596066fab6d310e2d7538f33ae267cb18d957e8f
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size 5676070424
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umt5-xxl-enc-fp8_e4m3fn.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fe5173588270c22505d4f9158bb1644b78331b8614206a97e92760b960c9ffa
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size 6731333792
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