Instructions to use Disty0/GLM-Image-SDNQ-4bit-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/GLM-Image-SDNQ-4bit-dynamic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/GLM-Image-SDNQ-4bit-dynamic", 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
- Xet hash:
- e9982eec19bedfefa9162f6fd91fc210e05ed0079ddbbed78a99c50d157eb3b0
- Size of remote file:
- 812 MB
- SHA256:
- a80a129b649cdb6d74d9c2b5bb060f3b882b7826b63a732306a7d3393deedbc0
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