Instructions to use Intel/GLM-Image-int4-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Intel/GLM-Image-int4-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Intel/GLM-Image-int4-AutoRound", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| {%- 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 -%} |