Instructions to use optimum-intel-internal-testing/tiny-random-z-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-z-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("optimum-intel-internal-testing/tiny-random-z-image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae_encoder/openvino_model.xml from optimum-intel-internal-testing/tiny-random-z-image: direct link, hf CLI and curl.
- Browser
- Download file 73.3 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-z-image/resolve/ov/vae_encoder/openvino_model.xml
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-z-image@ov/vae_encoder/openvino_model.xml
-
curl -L -o openvino_model.xml https://huggingface.co/optimum-intel-internal-testing/tiny-random-z-image/resolve/ov/vae_encoder/openvino_model.xml
73.3 kB
| <net name="Model6" version="11"> | |
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| <output> | |
| <port id="0" precision="FP32" names="self.encoder.conv_in.weight"> | |
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| <dim>3</dim> | |
| <dim>3</dim> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <dim>3</dim> | |
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| <layer id="7" name="self.encoder.down_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1"> | |
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| <dim>32</dim> | |
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| <dim>3</dim> | |
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| <layer id="8" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="9" name="self.encoder.down_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm2.weight"> | |
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| <layer id="10" name="self.encoder.down_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm2.bias"> | |
| <dim>32</dim> | |
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| <layer id="11" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="12" name="__module.encoder.down_blocks.0.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <layer id="13" name="self.encoder.down_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1"> | |
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| <dim>32</dim> | |
| <dim>3</dim> | |
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| <layer id="15" name="__module.encoder.down_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
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| <port id="2" precision="FP32" names="76,77,hidden_states.3"> | |
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| <layer id="16" name="self.encoder.down_blocks.0.downsamplers.0.conv.weight" type="Const" version="opset1"> | |
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| <layer id="17" name="__module.encoder.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.norm1.weight"> | |
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| <layer id="19" name="self.encoder.down_blocks.1.resnets.0.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="32" offset="3584" size="128" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.norm1.bias"> | |
| <dim>32</dim> | |
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| </output> | |
| </layer> | |
| <layer id="20" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <layer id="21" name="__module.encoder.down_blocks.1.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <layer id="22" name="self.encoder.down_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1"> | |
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| <dim>32</dim> | |
| <dim>32</dim> | |
| <dim>3</dim> | |
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| <layer id="23" name="__module.encoder.down_blocks.1.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <dim>-1</dim> | |
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| <layer id="24" name="self.encoder.down_blocks.1.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="32" offset="3456" size="128" /> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.norm2.weight"> | |
| <dim>32</dim> | |
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| <layer id="25" name="self.encoder.down_blocks.1.resnets.0.norm2.bias" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.norm2.bias"> | |
| <dim>32</dim> | |
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| </output> | |
| </layer> | |
| <layer id="26" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <output> | |
| <port id="3" precision="FP32" names="111,input.23"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
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| <layer id="27" name="__module.encoder.down_blocks.1.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <output> | |
| <port id="1" precision="FP32" names="112,input.25"> | |
| <dim>-1</dim> | |
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| <layer id="28" name="self.encoder.down_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="32, 32, 3, 3" offset="151168" size="36864" /> | |
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| <port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.conv2.weight"> | |
| <dim>32</dim> | |
| <dim>32</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="29" name="__module.encoder.down_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
| <data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>32</dim> | |
| <dim>32</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="120,hidden_states.7"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="30" name="__module.encoder.down_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
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| <port id="1" precision="FP32"> | |
| <dim>-1</dim> | |
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| <output> | |
| <port id="2" precision="FP32" names="121,122,hidden_states.9"> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
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| <layer id="47" name="__module.encoder.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="51" name="__module.encoder.down_blocks.3.resnets.0.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <layer id="52" name="self.encoder.down_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="53" name="__module.encoder.down_blocks.3.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="54" name="self.encoder.down_blocks.3.resnets.0.norm2.weight" type="Const" version="opset1"> | |
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| <layer id="55" name="self.encoder.down_blocks.3.resnets.0.norm2.bias" type="Const" version="opset1"> | |
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| <layer id="56" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="57" name="__module.encoder.down_blocks.3.resnets.0.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
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| <layer id="58" name="self.encoder.down_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="59" name="__module.encoder.down_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="60" name="__module.encoder.down_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
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| <layer id="61" name="self.encoder.mid_block.resnets.0.norm1.weight" type="Const" version="opset1"> | |
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| <Runtime_version value="2026.5.0-23326-6ce8fccc044" /> | |
| <conversion_parameters> | |
| <framework value="pytorch" /> | |
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| </conversion_parameters> | |
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| </runtime_options> | |
| </rt_info> | |
| </net> | |