Instructions to use diffusers/open-sora-pipe-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/open-sora-pipe-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/open-sora-pipe-test", 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: 489 Bytes
973a1cf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"_class_name": "Transformer3DModel",
"_diffusers_version": "0.28.0.dev0",
"_name_or_path": "./st-dit-512-diffusers/transformer/",
"attention_head_dim": 72,
"caption_channels": 4096,
"cross_attention_dim": 1152,
"in_channels": 4,
"interpolation_scale": null,
"norm_eps": 1e-06,
"num_attention_heads": 16,
"num_embeds_ada_norm": 1000,
"num_layers": 28,
"out_channels": 8,
"patch_size": [
1,
2,
2
],
"sample_size": [
16,
64,
64
]
}
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