Instructions to use Kokoboyaw/NewBie-image-Exp0.1-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kokoboyaw/NewBie-image-Exp0.1-quantized with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kokoboyaw/NewBie-image-Exp0.1-quantized", 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
- Draw Things
- DiffusionBee
NewBie-image-Exp0.1 Quantized
Quantized versions of NewBie-AI/NewBie-image-Exp0.1 for reduced VRAM usage and faster inference.
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Model tree for Kokoboyaw/NewBie-image-Exp0.1-quantized
Base model
NewBie-AI/NewBie-image-Exp0.1