2026/01/24
How to Run GLM-Image Locally with Diffusers: A Step-by-Step Guide
Everything you need to set up GLM-Image on your own hardware using the Diffusers library. VRAM requirements and optimization tips.
Running GLM-Image locally gives you ultimate privacy and no generation limits. Here is how to set it up.
VRAM Requirements
- Recommended: 24GB (RTX 3090/4090)
- Minimum: 16GB (with quantization)
Setup Steps
- Install
diffusers,transformers, andaccelerate. - Download the weights from Hugging Face or Z.ai.
- Use
torch.float16to save memory.
from diffusers import GLMImagePipeline
pipe = GLMImagePipeline.from_pretrained("z.ai/glm-image-v1")Performance Tips
Enable CPU offloading if you are tight on VRAM.
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