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
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eprint={2510.22200},
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We thank the contributors to Wan, UMT5-XXL, Diffusers, and HuggingFace for their open research.
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Contact
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Questions? Reach out at ceo@nullxes.com
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Questions? Reach out at ceo@nullxes.com
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