Unconditional Image Generation
Transformers
Safetensors
tinyimagegen
feature-extraction
imagegen
unconditional-image
custom_code
Instructions to use fromziro/TinyImageGen-0.6M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fromziro/TinyImageGen-0.6M with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fromziro/TinyImageGen-0.6M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 922 Bytes
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"architectures": [
"TinyImageGenModelForImageDiffusion"
],
"auto_map": {
"AutoConfig": "configuration_tinyimagegen.TinyImageGenConfig",
"AutoModel": "modeling_tinyimagegen.TinyImageGenModelForImageDiffusion",
"AutoModelForImageDiffusion": "modeling_tinyimagegen.TinyImageGenModelForImageDiffusion"
},
"dtype": "float32",
"head_dim": 24,
"hidden_size": 96,
"image_size": 32,
"in_channels": 3,
"initializer_range": 0.02,
"intermediate_size": 160,
"model_type": "tinyimagegen",
"num_attention_heads": 4,
"num_hidden_layers": 6,
"num_key_value_heads": 2,
"num_lanes": 4,
"num_patches": 256,
"num_patches_side": 16,
"patch_dim": 12,
"patch_size": 2,
"rms_norm_eps": 1e-05,
"rope_theta": 2500.0,
"swiglu_interval": 3,
"transformers_version": "5.8.0.dev0",
"use_cache": false,
"use_per_head_gating": false,
"use_xsa": false
} |