Instructions to use optimum-intel-internal-testing/tiny-random-ltx2.5 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-ltx2.5 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-ltx2.5", 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
Download duration_head/openvino_model.xml from optimum-intel-internal-testing/tiny-random-ltx2.5: direct link, hf CLI and curl.
- Browser
- Download file 28.7 kB
-
https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/ov/duration_head/openvino_model.xml
- Command line
-
hf download hf://optimum-intel-internal-testing/tiny-random-ltx2.5@ov/duration_head/openvino_model.xml
-
curl -L -o openvino_model.xml https://huggingface.co/optimum-intel-internal-testing/tiny-random-ltx2.5/resolve/ov/duration_head/openvino_model.xml
28.7 kB
| <net name="Model24" version="11"> | |
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| <data shape="?,?,32" element_type="f32" /> | |
| <output> | |
| <port id="0" precision="FP32" names="audio_tokens"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>32</dim> | |
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| <layer id="3" name="self.video_input_proj.weight" type="Const" version="opset1"> | |
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| <port id="2" precision="FP32" names="28,tokens"> | |
| <dim>-1</dim> | |
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| <layer id="13" name="__module.attention_pooler.to_k/aten::linear/MatMul" type="MatMul" version="opset1"> | |
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| <data axis="0" /> | |
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| <output> | |
| <port id="2" precision="FP32" names="63,input.5"> | |
| <dim>-1</dim> | |
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| <layer id="24" name="self.attention_pooler.to_q.weight" type="Const" version="opset1"> | |
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| <output> | |
| <port id="0" precision="FP32" names="self.attention_pooler.to_q.weight"> | |
| <dim>16</dim> | |
| <dim>16</dim> | |
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| </output> | |
| </layer> | |
| <layer id="25" name="__module.attention_pooler.to_q/aten::linear/MatMul" type="MatMul" version="opset1"> | |
| <data transpose_a="false" transpose_b="true" /> | |
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| <port id="1" precision="FP32"> | |
| <dim>16</dim> | |
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| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
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| </layer> | |
| <layer id="26" name="Constant_163521" type="Const" version="opset1"> | |
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| <layer id="29" name="__module.attention_pooler/aten::permute/Transpose" type="Reshape" version="opset1"> | |
| <data special_zero="false" /> | |
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| <layer id="31" name="__module.attention_pooler/aten::unflatten/Reshape_1" type="Reshape" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="32" name="Constant_160744" type="Const" version="opset1"> | |
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| <layer id="33" name="__module.attention_pooler/aten::permute/Transpose_1" type="Transpose" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="I64"> | |
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| <output> | |
| <port id="2" precision="FP32" names="82,key"> | |
| <dim>-1</dim> | |
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| <layer id="34" name="self.attention_pooler.to_v.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="FP32" names="self.attention_pooler.to_v.weight"> | |
| <dim>16</dim> | |
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| </layer> | |
| <layer id="35" name="__module.attention_pooler.to_v/aten::linear/MatMul" type="MatMul" version="opset1"> | |
| <data transpose_a="false" transpose_b="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>16</dim> | |
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| <layer id="36" name="Constant_163523" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 1, 16" offset="7600" size="64" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>16</dim> | |
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| </output> | |
| </layer> | |
| <layer id="37" name="__module.attention_pooler.to_v/aten::linear/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>16</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>16</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="76"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>16</dim> | |
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| </layer> | |
| <layer id="38" name="Constant_163594" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="6512" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
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| <layer id="39" name="__module.attention_pooler/aten::unflatten/Reshape_2" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| </port> | |
| <port id="1" precision="I64"> | |
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