Instructions to use zai-org/GLM-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zai-org/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("zai-org/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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 349 Bytes
9de9f71 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_class_name": "GlmImageTransformer2DModel",
"_diffusers_version": "0.37.0.dev0",
"attention_head_dim": 128,
"condition_dim": 256,
"in_channels": 16,
"num_attention_heads": 32,
"num_layers": 30,
"out_channels": 16,
"patch_size": 2,
"prior_vq_quantizer_codebook_size": 16384,
"text_embed_dim": 1472,
"time_embed_dim": 512
}
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