Instructions to use plasmo/voxel-ish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/voxel-ish 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/voxel-ish", 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
Jak's Voxel-ish Image Pack for Stable Diffusion
Another fantastic image pack brought to you by 143 training images through 8000 training steps, 20% Training text crafted by Jak_TheAI_Artist
Include Prompt trigger: "voxel-ish" to activate.
Tip: add "intricate detail" in prompt to make a semi-realistic image.
UPDATE: Version 1.2 available here
Sample pictures of this concept:
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