Instructions to use p1atdev/pvc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use p1atdev/pvc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("p1atdev/pvc", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece, best quality, high quality, 1girl, cat ears, silver, blue, frills, bow, looking at viewer, ultra detailed" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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PVC v1 (based on WDv1.4 e2)
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<a class="btn" href="https://huggingface.co/p1atdev/pvc/resolve/9771e2970e9574efe89910801861234a5f276aa2/pvc-v1.ckpt">Download model (ckpt)</a>
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<a class="btn" href="https://huggingface.co/p1atdev/pvc/resolve/9771e2970e9574efe89910801861234a5f276aa2/pvc-v1.safetensors">Download model (safetensors)</a>
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<a class="btn" href="https://huggingface.co/p1atdev/pvc/resolve/9771e2970e9574efe89910801861234a5f276aa2/pvc-v1-lora.pt">Download LoRA (pt)</a>
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PVC v1 (based on WDv1.4 e2)
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</summary>
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<div class="flex flex-wrap gap-4 my-4">
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<a class="btn" href="https://huggingface.co/p1atdev/pvc/resolve/9771e2970e9574efe89910801861234a5f276aa2/pvc-v1.ckpt">Download model (ckpt)</a>
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<a class="btn" href="https://huggingface.co/p1atdev/pvc/resolve/9771e2970e9574efe89910801861234a5f276aa2/pvc-v1.safetensors">Download model (safetensors)</a>
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<a class="btn" href="https://huggingface.co/p1atdev/pvc/resolve/9771e2970e9574efe89910801861234a5f276aa2/pvc-v1-lora.pt">Download LoRA (pt)</a>
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