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README.md
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@@ -36,7 +36,7 @@ Depth-conditioned generation for [Krea-2](https://github.com/krea-ai/krea-2). Gi
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| file | base trained on | size |
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| [`depth-control-lora.safetensors`](https://huggingface.co/Patil/Krea-2-controlnet/blob/main/depth-control-lora.safetensors) | krea/Krea-2-Raw | 862MB |
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## Setup
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cd Krea-2-controlnet
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pip install -r requirements.txt
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hf download Patil/Krea-2-controlnet depth-control-lora.safetensors --local-dir .
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```
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Requires one GPU with **≥48GB VRAM** (A100-80 / H100 / B200): 13B DiT in bf16 (26GB) + Qwen3-VL-4B text encoder (8GB) + VAE + Depth-Anything-V2. The Krea-2 base checkpoint (26GB) and auxiliary models download automatically from HF on first run.
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| file | base trained on | size |
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|---|---|---|
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| [`depth-control-lora.safetensors`](https://huggingface.co/Patil/Krea-2-depth-controlnet/blob/main/depth-control-lora.safetensors) | krea/Krea-2-Raw | 862MB |
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## Setup
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cd Krea-2-controlnet
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pip install -r requirements.txt
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hf download Patil/Krea-2-depth-controlnet depth-control-lora.safetensors --local-dir .
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```
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Requires one GPU with **≥48GB VRAM** (A100-80 / H100 / B200): 13B DiT in bf16 (26GB) + Qwen3-VL-4B text encoder (8GB) + VAE + Depth-Anything-V2. The Krea-2 base checkpoint (26GB) and auxiliary models download automatically from HF on first run.
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