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
Update README.md
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README.md
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@@ -70,7 +70,7 @@ locate **gguf** from Add Node > extension dropdown menu (between 3d and api; sec
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- the converted gguf file will be saved to the output folder (./ComfyUI/output)
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### **disclaimer**
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- some models (original files) as well as the codes are obtained from somewhere or provided by someone else and we might not easily spot out the creator/contributor(s) behind, unless it was specified in the source; rather let it blank or anonymous/unnamed/unknown
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- we hope we are able to make more effort to trace the source; if it is your work, do let us know; we will address it back properly and probably; thanks for everything
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### **reference**
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- the converted gguf file will be saved to the output folder (./ComfyUI/output)
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### **disclaimer**
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- some models (original files) as well as part of the codes are obtained from somewhere or provided by someone else and we might not easily spot out the creator/contributor(s) behind, unless it was specified in the source; rather let it blank or anonymous/unnamed/unknown
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- we hope we are able to make more effort to trace the source; if it is your work, do let us know; we will address it back properly and probably; thanks for everything
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### **reference**
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