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
Add reference OpenVINO IRs Generated with: - transformers==5.10.4 - optimum-intel==2.3.0.dev0+af9c853a - openvino==2026.5.0-23326
#4
by h0witended - opened
- metadata.json +1 -1
- text_encoder/openvino_model.xml +1 -1
- transformer/openvino_model.bin +2 -2
- transformer/openvino_model.xml +0 -0
- vae_decoder/openvino_model.xml +14 -14
- vae_encoder/openvino_model.xml +11 -11
metadata.json
CHANGED
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@@ -2,7 +2,7 @@
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"model_id": "optimum-intel-internal-testing/tiny-random-z-image",
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"model_class": "OVZImagePipeline",
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"transformers_version": "5.10.4",
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| 5 |
-
"optimum_intel_version": "2.3.0.dev0+
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| 6 |
"openvino_version": "2026.5.0-23326",
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"generated_date": "2026-10-05",
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"components": [
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"model_id": "optimum-intel-internal-testing/tiny-random-z-image",
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"model_class": "OVZImagePipeline",
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"transformers_version": "5.10.4",
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| 5 |
+
"optimum_intel_version": "2.3.0.dev0+af9c853a",
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| 6 |
"openvino_version": "2026.5.0-23326",
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| 7 |
"generated_date": "2026-10-05",
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"components": [
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text_encoder/openvino_model.xml
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</conversion_parameters>
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<optimum>
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<diffusers_version value="0.40.0" />
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<optimum_intel_version value="2.3.0.dev0+
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<optimum_version value="2.3.0" />
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<pytorch_version value="2.14.1" />
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<transformers_version value="5.10.4" />
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</conversion_parameters>
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<optimum>
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<diffusers_version value="0.40.0" />
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<optimum_intel_version value="2.3.0.dev0+af9c853a" />
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<optimum_version value="2.3.0" />
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<pytorch_version value="2.14.1" />
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<transformers_version value="5.10.4" />
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transformer/openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:95a623bae4f64596e54159542791f0c2c1f44937659393191e9dccb5bcb42159
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size 2881840
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transformer/openvino_model.xml
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The diff for this file is too large to render.
See raw diff
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vae_decoder/openvino_model.xml
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</port>
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<diffusers_version value="0.40.0" />
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<optimum_version value="2.3.0" />
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<pytorch_version value="2.14.1" />
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vae_encoder/openvino_model.xml
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|
| 1478 |
<port id="0" precision="I64">
|
|
|
|
| 1501 |
</port>
|
| 1502 |
</output>
|
| 1503 |
</layer>
|
| 1504 |
+
<layer id="93" name="Constant_43857" type="Const" version="opset1">
|
| 1505 |
<data element_type="i64" shape="4" offset="487112" size="32" />
|
| 1506 |
<output>
|
| 1507 |
<port id="0" precision="I64">
|
|
|
|
| 1561 |
</port>
|
| 1562 |
</output>
|
| 1563 |
</layer>
|
| 1564 |
+
<layer id="97" name="Constant_44520" type="Const" version="opset1">
|
| 1565 |
<data element_type="i64" shape="4" offset="487080" size="32" />
|
| 1566 |
<output>
|
| 1567 |
<port id="0" precision="I64">
|
|
|
|
| 1590 |
</port>
|
| 1591 |
</output>
|
| 1592 |
</layer>
|
| 1593 |
+
<layer id="99" name="Constant_43859" type="Const" version="opset1">
|
| 1594 |
<data element_type="i64" shape="4" offset="487112" size="32" />
|
| 1595 |
<output>
|
| 1596 |
<port id="0" precision="I64">
|
|
|
|
| 1651 |
</port>
|
| 1652 |
</output>
|
| 1653 |
</layer>
|
| 1654 |
+
<layer id="102" name="Constant_43861" type="Const" version="opset1">
|
| 1655 |
<data element_type="i64" shape="4" offset="495336" size="32" />
|
| 1656 |
<output>
|
| 1657 |
<port id="0" precision="I64">
|
|
|
|
| 1681 |
</port>
|
| 1682 |
</output>
|
| 1683 |
</layer>
|
| 1684 |
+
<layer id="104" name="Constant_44521" type="Const" version="opset1">
|
| 1685 |
<data element_type="i64" shape="3" offset="495368" size="24" />
|
| 1686 |
<output>
|
| 1687 |
<port id="0" precision="I64">
|
|
|
|
| 2175 |
</port>
|
| 2176 |
</output>
|
| 2177 |
</layer>
|
| 2178 |
+
<layer id="134" name="Result_40686" type="Result" version="opset1" output_names="latent_parameters">
|
| 2179 |
<input>
|
| 2180 |
<port id="0" precision="FP32">
|
| 2181 |
<dim>-1</dim>
|
|
|
|
| 2341 |
</conversion_parameters>
|
| 2342 |
<optimum>
|
| 2343 |
<diffusers_version value="0.40.0" />
|
| 2344 |
+
<optimum_intel_version value="2.3.0.dev0+af9c853a" />
|
| 2345 |
<optimum_version value="2.3.0" />
|
| 2346 |
<pytorch_version value="2.14.1" />
|
| 2347 |
<transformers_version value="5.10.4" />
|