Instructions to use LanguageBind/Open-Sora-Plan-v1.1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LanguageBind/Open-Sora-Plan-v1.1.0 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-v1.1.0", 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
Rename model/config.json to 65x512x512/config.json
Browse files
{model → 65x512x512}/config.json
RENAMED
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@@ -1,7 +1,7 @@
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{
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"_class_name": "LatteT2V",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/home/
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"activation_fn": "gelu-approximate",
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"attention_bias": true,
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"attention_head_dim": 72,
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{
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"_class_name": "LatteT2V",
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"_diffusers_version": "0.27.2",
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+
"_name_or_path": "/home/checkpoints/",
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"activation_fn": "gelu-approximate",
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"attention_bias": true,
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"attention_head_dim": 72,
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