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@@ -45,10 +45,10 @@ pip install -r requirements.txt
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  ## Download
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- You can download the OmniConsistency model and pretrained LoRAs directly from [Hugging Face](https://huggingface.co/showlab/OmniConsistency).
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  Or download using Python script:
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- ### OmniConsistency Model
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  ```python
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  from huggingface_hub import hf_hub_download
@@ -75,7 +75,7 @@ hf_hub_download(repo_id="showlab/OmniConsistency", filename="LoRAs/Snoopy_rank12
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  hf_hub_download(repo_id="showlab/OmniConsistency", filename="LoRAs/Van_Gogh_rank128_bf16.safetensors", local_dir="./LoRAs")
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  hf_hub_download(repo_id="showlab/OmniConsistency", filename="LoRAs/Vector_rank128_bf16.safetensors", local_dir="./LoRAs")
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  ```
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- ### Pretrained LoRAs
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  ```python
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  from huggingface_hub import hf_hub_download
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  hf_hub_download(repo_id="showlab/OmniConsistency", filename="OmniConsistency.safetensors", local_dir="./Model")
 
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  ## Download
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+ You can download the OmniConsistency model and trained LoRAs directly from [Hugging Face](https://huggingface.co/showlab/OmniConsistency).
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  Or download using Python script:
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+ ### Trained LoRAs
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  ```python
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  from huggingface_hub import hf_hub_download
 
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  hf_hub_download(repo_id="showlab/OmniConsistency", filename="LoRAs/Van_Gogh_rank128_bf16.safetensors", local_dir="./LoRAs")
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  hf_hub_download(repo_id="showlab/OmniConsistency", filename="LoRAs/Vector_rank128_bf16.safetensors", local_dir="./LoRAs")
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  ```
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+ ### OmniConsistency Model
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  ```python
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  from huggingface_hub import hf_hub_download
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  hf_hub_download(repo_id="showlab/OmniConsistency", filename="OmniConsistency.safetensors", local_dir="./Model")