Instructions to use plasmo/vox2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/vox2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plasmo/vox2", dtype=torch.bfloat16, device_map="cuda") prompt = "voxel-ish " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 1,817 Bytes
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license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
widget:
- text: "voxel-ish "
---
### Jak's Voxel-ish Image Pack v.1.2 for Stable Diffusion
VERSION 1.2 of Voxel-ish Image Pack brought to you by 184 training images through 8000 training steps, 20% Training text crafted by Jak_TheAI_Artist
version history: v1.2 - Fine tuned for better faces.
Include Prompt trigger: "voxel-ish" to activate.
Tip: add "intricate detail" in prompt to make a semi-realistic image.
Sample pictures of this concept:
voxel-ish












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