Instructions to use calcuis/gguf-node with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use calcuis/gguf-node with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("calcuis/gguf-node", dtype=torch.bfloat16, device_map="cuda") prompt = "anime style anime girl with massive fennec ears and one big fluffy tail, she has blonde long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress, walking slowly to the front with sweetie smile, holding a fancy black forest cake with candles on top in the kitchen of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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README.md
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- drag lora adapter(s), if any, to loras folder (./ComfyUI/models/loras)
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- drag vae decoder(s) to vae folder (./ComfyUI/models/vae)
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## run it straight (no installation needed way)
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- get the comfy pack with the new gguf-node ([beta](https://github.com/calcuis/gguf/releases))
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- run the .bat file in the main directory
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- drag lora adapter(s), if any, to loras folder (./ComfyUI/models/loras)
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- drag vae decoder(s) to vae folder (./ComfyUI/models/vae)
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## **run it straight (no installation needed way)**
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- get the comfy pack with the new gguf-node ([beta](https://github.com/calcuis/gguf/releases))
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- run the .bat file in the main directory
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