Instructions to use sijunhe/tiny-random-stable-diffusion-pipe-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use sijunhe/tiny-random-stable-diffusion-pipe-1 with paddlenlp:
# ⚠️ Type of model unknown from paddlenlp.transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sijunhe/tiny-random-stable-diffusion-pipe-1", from_hf_hub=True) model = AutoModel.from_pretrained("sijunhe/tiny-random-stable-diffusion-pipe-1", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
File size: 466 Bytes
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"_class_name": "AutoencoderKL",
"_diffusers_version": "0.4.0.dev0",
"_ppdiffusers_version": "0.0.0",
"act_fn": "silu",
"block_out_channels": [
32,
64
],
"down_block_types": [
"DownEncoderBlock2D",
"DownEncoderBlock2D"
],
"in_channels": 3,
"latent_channels": 4,
"layers_per_block": 1,
"norm_num_groups": 32,
"out_channels": 3,
"sample_size": 32,
"up_block_types": [
"UpDecoderBlock2D",
"UpDecoderBlock2D"
]
}
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