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
Upload complete model
Browse files
vision_language_encoder/model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8575ed7148893c4fb390ad84c51d9c3800b0f960af6f977c6f6fd6d1708c8c4d
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size 5295710600
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