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test(model management): test VaeFolderProbe

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This commit is contained in:
Kevin Turner 2023-09-20 12:48:59 -07:00
parent e487bcd0f7
commit 2c39aec22d
5 changed files with 153 additions and 0 deletions
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19
tests/test_model_probe.py Normal file
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from pathlib import Path
import pytest
from invokeai.backend import BaseModelType
from invokeai.backend.model_management.model_probe import VaeFolderProbe
@pytest.mark.parametrize("vae_path,expected_type", [
("sd-vae-ft-mse", BaseModelType.StableDiffusion1),
("sdxl-vae", BaseModelType.StableDiffusionXL),
("taesd", BaseModelType.StableDiffusion1),
("taesdxl", BaseModelType.StableDiffusionXL)
])
def test_get_base_type(vae_path: str, expected_type: BaseModelType, datadir: Path):
sd1_vae_path = datadir / "vae" / vae_path
probe = VaeFolderProbe(sd1_vae_path)
base_type = probe.get_base_type()
assert base_type == expected_type

29
tests/test_model_probe/vae/sd-vae-ft-mse/config.json Normal file
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{
"_class_name": "AutoencoderKL",
"_diffusers_version": "0.4.2",
"act_fn": "silu",
"block_out_channels": [
128,
256,
512,
512
],
"down_block_types": [
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D"
],
"in_channels": 3,
"latent_channels": 4,
"layers_per_block": 2,
"norm_num_groups": 32,
"out_channels": 3,
"sample_size": 256,
"up_block_types": [
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D"
]
}

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tests/test_model_probe/vae/sdxl-vae/config.json Normal file
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{
"_class_name": "AutoencoderKL",
"_diffusers_version": "0.18.0.dev0",
"_name_or_path": ".",
"act_fn": "silu",
"block_out_channels": [
128,
256,
512,
512
],
"down_block_types": [
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D"
],
"in_channels": 3,
"latent_channels": 4,
"layers_per_block": 2,
"norm_num_groups": 32,
"out_channels": 3,
"sample_size": 1024,
"scaling_factor": 0.13025,
"up_block_types": [
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D"
]
}

37
tests/test_model_probe/vae/taesd/config.json Normal file
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{
"_class_name": "AutoencoderTiny",
"_diffusers_version": "0.20.0.dev0",
"act_fn": "relu",
"decoder_block_out_channels": [
64,
64,
64,
64
],
"encoder_block_out_channels": [
64,
64,
64,
64
],
"force_upcast": false,
"in_channels": 3,
"latent_channels": 4,
"latent_magnitude": 3,
"latent_shift": 0.5,
"num_decoder_blocks": [
3,
3,
3,
1
],
"num_encoder_blocks": [
1,
3,
3,
3
],
"out_channels": 3,
"scaling_factor": 1.0,
"upsampling_scaling_factor": 2
}

37
tests/test_model_probe/vae/taesdxl/config.json Normal file
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{
"_class_name": "AutoencoderTiny",
"_diffusers_version": "0.20.0.dev0",
"act_fn": "relu",
"decoder_block_out_channels": [
64,
64,
64,
64
],
"encoder_block_out_channels": [
64,
64,
64,
64
],
"force_upcast": false,
"in_channels": 3,
"latent_channels": 4,
"latent_magnitude": 3,
"latent_shift": 0.5,
"num_decoder_blocks": [
3,
3,
3,
1
],
"num_encoder_blocks": [
1,
3,
3,
3
],
"out_channels": 3,
"scaling_factor": 1.0,
"upsampling_scaling_factor": 2
}