Instructions to use MagistrTheOne/ARACHNE-X-ULTRA-VIDEO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MagistrTheOne/ARACHNE-X-ULTRA-VIDEO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MagistrTheOne/ARACHNE-X-ULTRA-VIDEO", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Transformers
How to use MagistrTheOne/ARACHNE-X-ULTRA-VIDEO with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MagistrTheOne/ARACHNE-X-ULTRA-VIDEO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 593 Bytes
9f7d910 | 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 27 28 29 | {
"_class_name": "LongCatVideoTransformer3DModel",
"_diffusers_version": "0.32.0",
"adaln_tembed_dim": 512,
"bsa_params":{
"sparsity": 0.9375,
"chunk_3d_shape_q": [4, 4, 4],
"chunk_3d_shape_k": [4, 4, 4]
},
"caption_channels": 4096,
"cp_split_hw": null,
"depth": 48,
"enable_bsa": false,
"enable_flashattn3": false,
"enable_flashattn2": true,
"frequency_embedding_size": 256,
"hidden_size": 4096,
"in_channels": 16,
"text_tokens_zero_pad": true,
"mlp_ratio": 4,
"num_heads": 32,
"out_channels": 16,
"patch_size": [
1,
2,
2
]
}
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