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 Settings
- Draw Things
- DiffusionBee
Upload complete model
Browse files
processor/preprocessor_config.json
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{
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"min_pixels": 262144,
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"max_pixels": 4194304,
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"do_rescale": true,
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"do_normalize": true,
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"do_resize": true,
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"patch_size": 16,
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"temporal_patch_size": 1,
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"merge_size": 1,
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"image_mean": [0.5, 0.5, 0.5],
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"image_std": [0.5, 0.5, 0.5],
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"image_processor_type": "GlmImageImageProcessor",
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"processor_class": "GlmImageProcessor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098
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}
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