Instructions to use plasmo/clayitization-sd1-5-768px with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/clayitization-sd1-5-768px 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/clayitization-sd1-5-768px", dtype=torch.bfloat16, device_map="cuda") prompt = "clayitization " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Jak's Clayitization Image Pack (SD 1.5) for Stable Diffusion
From the makers of Woolitize, another versatile Jak Texture Pack is available to help unleash your Clay-itivity!
Trained using 100 (768px) training images, 8000 training steps, 500 Text_Encoder_steps.
New: If you want the Stable Diffusion v2.1 model go HERE
Use Prompt: "clayitization" in the beginning of your prompt followed by a word. No major prompt-crafting needed.
Thanks to /u/Jak_TheAI_Artist for creating training images!
Tips:
- use fewer prompts to make a more raw clay look (eg. "clayitization, brad pitt" made the image below)
- change to square for portraits, and rectangle for dioramas
- add "3d, octane render, intricate details" for more realistic details in the clay
- use 768 resolution or larger images for best results
Sample pictures of this concept:
- Downloads last month
- 16






