Instructions to use PLAN-Lab/GraphVid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PLAN-Lab/GraphVid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PLAN-Lab/GraphVid", torch_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
Delete files model_index.json with huggingface_hub
Browse files- model_index.json +0 -25
model_index.json
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{
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"_class_name": "LTXConditionPipeline",
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"_diffusers_version": "0.38.0.dev0",
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"_name_or_path": "GraphVid_1.0",
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"scheduler": [
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"diffusers",
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"T5EncoderModel"
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],
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"tokenizer": [
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"transformers",
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"T5Tokenizer"
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],
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"transformer": [
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"GraphVid_transformer",
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"GraphVidLTXTransformer3DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKLLTXVideo"
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]
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}
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