Instructions to use models123/GLM-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use models123/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("models123/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
File size: 431 Bytes
087f14e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"min_pixels": 262144,
"max_pixels": 4194304,
"do_rescale": true,
"do_normalize": true,
"do_resize": true,
"patch_size": 16,
"temporal_patch_size": 1,
"merge_size": 1,
"image_mean": [0.5, 0.5, 0.5],
"image_std": [0.5, 0.5, 0.5],
"image_processor_type": "GlmImageImageProcessor",
"processor_class": "GlmImageProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098
}
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