Text-to-Video
Diffusers
Safetensors
arachne
nullxes
foundation
video-generation
diffusion-transformer
realtime-runtime
enterprise-ai
multimodal
sovereign-ai
Instructions to use MagistrTheOne/ARACHNE-FOUNDATION-50B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MagistrTheOne/ARACHNE-FOUNDATION-50B 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-FOUNDATION-50B", 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
- Xet hash:
- af8706d7b45a1f6165f9adb864570f7e7e160d880a6d3a50e1a4850600aa26df
- Size of remote file:
- 4.98 GB
- SHA256:
- d7f8278998da7a2ebbd449ff865ac3fbf7fb65f5cb8e29282588f2341455c43b
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