Instructions to use viaus/Vpred-checkpoints5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use viaus/Vpred-checkpoints5000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("viaus/Vpred-checkpoints5000", 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
metadata
license: other
tags:
- text-to-image
Converted from https://huggingface.co/Laxhar/noob_sdxl_v_pred/blob/main/vpred-model/Vpred-checkpoint-e0_s5000.safetensors.