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 transformer/* with huggingface_hub
Browse files- transformer/config.json +0 -20
- transformer/diffusion_pytorch_model-00001-of-00006.safetensors +0 -3
- transformer/diffusion_pytorch_model-00002-of-00006.safetensors +0 -3
- transformer/diffusion_pytorch_model-00003-of-00006.safetensors +0 -3
- transformer/diffusion_pytorch_model-00004-of-00006.safetensors +0 -3
- transformer/diffusion_pytorch_model-00005-of-00006.safetensors +0 -3
- transformer/diffusion_pytorch_model-00006-of-00006.safetensors +0 -3
- transformer/diffusion_pytorch_model.safetensors.index.json +0 -0
transformer/config.json
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"_class_name": "GraphVidLTXTransformer3DModel",
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"_diffusers_version": "0.38.0.dev0",
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"_name_or_path": "GraphVid_1.0_transformer",
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"activation_fn": "gelu-approximate",
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"attention_bias": true,
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"attention_head_dim": 128,
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"attention_out_bias": true,
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"caption_channels": 4096,
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"cross_attention_dim": 4096,
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"in_channels": 128,
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"norm_elementwise_affine": false,
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"norm_eps": 1e-06,
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"num_attention_heads": 32,
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"num_layers": 48,
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"out_channels": 128,
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"patch_size": 1,
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"patch_size_t": 1,
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"qk_norm": "rms_norm_across_heads"
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}
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