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/generation_config.json
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{
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"_from_model_config": true,
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"do_sample": true,
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"eos_token_id": 16385,
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"pad_token_id": 167855,
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"top_p": 0.75,
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"temperature": 0.9,
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"top_k": 16512,
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"transformers_version": "5.0.0dev0"
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}
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