Instructions to use zai-org/GLM-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zai-org/GLM-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zai-org/GLM-Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download processor/tokenizer.json from zai-org/GLM-Image: direct link, hf CLI and curl.
- Browser
- Download file 23.8 MB
-
https://huggingface.co/zai-org/GLM-Image/resolve/refs%2Fpr%2F31/processor/tokenizer.json
- Command line
-
hf download hf://zai-org/GLM-Image@refs/pr/31/processor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/zai-org/GLM-Image/resolve/refs%2Fpr%2F31/processor/tokenizer.json
23.8 MB
- Xet hash:
- 68fc3dd8e8f531bc0298def21b57c963f5407174c3d3cc2d7a81017f8598ee43
- Size of remote file:
- 23.8 MB
- SHA256:
- 7626ee04802e81cadec0dbb983f2278aa24240b3b5c86a0b7831199ef25c6652
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