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README.md
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<a href='https://csgo-gen.github.io/'><img src='https://img.shields.io/badge/Project-Page-green'></a>
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<a href='https://arxiv.org/abs/2408.16766'><img src='https://img.shields.io/badge/Technique-Report-red'></a>
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[, [VAE](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix), [ControlNet](https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic), and [Image Encoder](https://huggingface.co/h94/IP-Adapter/tree/main/sdxl_models/image_encoder).
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Please download them and place them in the ./base_models folder.
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### 3. Inference 🚀
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```python
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<a href='https://csgo-gen.github.io/'><img src='https://img.shields.io/badge/Project-Page-green'></a>
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<a href='https://arxiv.org/abs/2408.16766'><img src='https://img.shields.io/badge/Technique-Report-red'></a>
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[](https://huggingface.co/spaces/InstantX/CSGO)
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</div>
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```
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Our method is fully compatible with [SDXL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0), [VAE](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix), [ControlNet](https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic), and [Image Encoder](https://huggingface.co/h94/IP-Adapter/tree/main/sdxl_models/image_encoder).
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Please download them and place them in the ./base_models folder.
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tips:If you expect to load Controlnet directly using ControlNetPipeline as in CSGO, do the following:
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```bash
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git clone https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic
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mv TTPLanet_SDXL_Controlnet_Tile_Realistic/TTPLANET_Controlnet_Tile_realistic_v2_fp16.safetensors TTPLanet_SDXL_Controlnet_Tile_Realistic/diffusion_pytorch_model.safetensors
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```
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### 3. Inference 🚀
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```python
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