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
- Draw Things
- DiffusionBee
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]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:
- Downloads last month
- 25











