Instructions to use amd/HummingbirdXT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/HummingbirdXT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amd/HummingbirdXT", 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 config.json
Browse files- config.json +0 -14
config.json
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{
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"_class_name": "WanModel",
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"_diffusers_version": "0.33.0",
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"dim": 3072,
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"eps": 1e-06,
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"ffn_dim": 14336,
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"freq_dim": 256,
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"in_dim": 48,
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"model_type": "ti2v",
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"num_heads": 24,
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"num_layers": 30,
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"out_dim": 48,
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"text_len": 512
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}
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