Instructions to use PrunaAI/Segmind-Vega-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PrunaAI/Segmind-Vega-smashed with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PrunaAI/Segmind-Vega-smashed", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Pruna AI
How to use PrunaAI/Segmind-Vega-smashed with Pruna AI:
from pruna import PrunaModel pip install -U diffusers transformers accelerate
from pruna import PrunaModel import torch # switch to "mps" for apple devices pipe = PrunaModel.from_pretrained("PrunaAI/Segmind-Vega-smashed", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c20907bfd9e2e1ca2a50b915212ba52db13d13592ce8bd3dac3269abe523f9b9
- Size of remote file:
- 2.78 GB
- SHA256:
- 943a2924ee888295a156dd47089d67181d633b782337890af11ef4b15af17ec5
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