Text-to-Image
Diffusers
English
GLZ_Porcelain
ceramic
sculpture
hyper-realistic
ComfyUI
Automatic1111
Instructions to use MidnightRunner/GLZ_Porcelain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MidnightRunner/GLZ_Porcelain with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MidnightRunner/GLZ_Porcelain", dtype=torch.bfloat16, device_map="cuda") prompt = "GLZ_Porcelain" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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**Base:** Z-Image Turbo
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**Training Data:**
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### Additional Resources
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**Base:** Z-Image Turbo
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**Training Data:** LoRA training dataset prepared with [Debiddow](https://www.instagram.com/debiddow) works.
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### Additional Resources
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