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/chat_template.jinja from zai-org/GLM-Image: direct link, hf CLI and curl.
- Browser
- Download file 435 Bytes
-
https://huggingface.co/zai-org/GLM-Image/resolve/refs%2Fpr%2F31/processor/chat_template.jinja
- Command line
-
hf download hf://zai-org/GLM-Image@refs/pr/31/processor/chat_template.jinja
-
curl -L -o chat_template.jinja https://huggingface.co/zai-org/GLM-Image/resolve/refs%2Fpr%2F31/processor/chat_template.jinja
435 Bytes
| {%- for m in messages -%} | |
| {%- if m.content is string -%} | |
| {{ m.content }} | |
| {%- else -%} | |
| {%- for item in m.content -%} | |
| {%- if item.type == 'image' or item.get('image') is not none -%} | |
| <|dit_token_16384|><|image|><|dit_token_16385|> | |
| {%- elif item.type == 'text' -%} | |
| {{ item.text }} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {%- endif -%} | |
| {%- endfor -%} |