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
File size: 251 Bytes
c9f8ced | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_class_name": "WanModel",
"_diffusers_version": "0.33.0",
"dim": 3072,
"eps": 1e-06,
"ffn_dim": 14336,
"freq_dim": 256,
"in_dim": 48,
"model_type": "ti2v",
"num_heads": 24,
"num_layers": 30,
"out_dim": 48,
"text_len": 512
}
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