Instructions to use LanguageBind/Open-Sora-Plan-v1.3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LanguageBind/Open-Sora-Plan-v1.3.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LanguageBind/Open-Sora-Plan-v1.3.0", 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 2 files
Browse files- vae/config.json +15 -0
- vae/merged.ckpt +3 -0
vae/config.json
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{
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"_class_name": "WFVAEModel",
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"_diffusers_version": "0.28.0",
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"base_channels": 128,
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"decoder_energy_flow_hidden_size": 128,
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"decoder_num_resblocks": 2,
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"dropout": 0.0,
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"encoder_energy_flow_hidden_size": 64,
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"encoder_num_resblocks": 2,
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"latent_dim": 8,
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"use_attention": true,
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"norm_type": "layernorm",
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"t_interpolation": "trilinear",
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"connect_res_layer_num": 2
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}
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vae/merged.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb45b11506efe8081b0371cdec6663fd73cc2ee2a3eb41767fec9db16de72b68
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size 1030159594
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