Instructions to use s1ghhh/VLADrop_GigaBrain0_LIBERO_Drop13Block_Uniform with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use s1ghhh/VLADrop_GigaBrain0_LIBERO_Drop13Block_Uniform with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("s1ghhh/VLADrop_GigaBrain0_LIBERO_Drop13Block_Uniform", 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:
- 04c4a5d8b059b5303da7aaf5e2f03281c3baa021435190f25e03fadf3c2417da
- Size of remote file:
- 14.1 GB
- SHA256:
- dda091387f80c09ce6618c86e1c870a3f4d6ce13a2019f91384adc3b6f5e0527
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