| { | |
| "_class_name": "AutoencoderKL", | |
| "_commit_hash": null, | |
| "_diffusers_version": "0.29.1", | |
| "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--hf-internal-testing--tiny-stable-diffusion-torch/snapshots/a88cdfbd91f96ec7f61eb7484b652ff0f4ee701d/vae", | |
| "_use_default_values": [ | |
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| "shift_factor", | |
| "use_post_quant_conv", | |
| "use_quant_conv", | |
| "latents_mean", | |
| "force_upcast", | |
| "scaling_factor" | |
| ], | |
| "act_fn": "silu", | |
| "block_out_channels": [ | |
| 32, | |
| 64 | |
| ], | |
| "down_block_types": [ | |
| "DownEncoderBlock2D", | |
| "DownEncoderBlock2D" | |
| ], | |
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| "latent_channels": 4, | |
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| "latents_std": null, | |
| "layers_per_block": 1, | |
| "neuron": { | |
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| "auto_cast_type": "bf16", | |
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| ], | |
| "model_type": "vae-encoder", | |
| "optlevel": "2", | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
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| "latent_sample" | |
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| "static_height": 64, | |
| "static_num_channels": 3, | |
| "static_width": 64 | |
| }, | |
| "norm_num_groups": 32, | |
| "out_channels": 3, | |
| "sample_size": 128, | |
| "scaling_factor": 0.18215, | |
| "shift_factor": null, | |
| "task": "semantic-segmentation", | |
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| "UpDecoderBlock2D" | |
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| "use_post_quant_conv": true, | |
| "use_quant_conv": true | |
| } | |