Instructions to use xcreates/GLM-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xcreates/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("xcreates/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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- ae6c25cf6a051369cba57b99fd0ef89009c3a0b399ab8ac2d66501eb360e1146
- Size of remote file:
- 871 MB
- SHA256:
- aa1ce00ffb0fe8912dfe32c11ba235b87511604298b605ef95314668a02f2bbf
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