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 Settings
- Draw Things
- DiffusionBee
File size: 197 Bytes
e0b001f | 1 2 3 4 5 6 7 8 9 10 11 | {
"_from_model_config": true,
"do_sample": true,
"eos_token_id": 16385,
"pad_token_id": 167855,
"temperature": 0.9,
"top_k": 16512,
"top_p": 0.75,
"transformers_version": "5.3.0"
}
|