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
Browse files
README.md
CHANGED
|
@@ -34,6 +34,10 @@ widget:
|
|
| 34 |
- drag lora adapter(s), if any, to loras folder (./ComfyUI/models/loras)
|
| 35 |
- drag vae decoder(s) to vae folder (./ComfyUI/models/vae)
|
| 36 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
### **workflow**
|
| 38 |
- drag any workflow json file to the activated browser; or
|
| 39 |
- drag any generated output file (i.e., picture, video, etc.; which contains the workflow metadata) to the activated browser
|
|
|
|
| 34 |
- drag lora adapter(s), if any, to loras folder (./ComfyUI/models/loras)
|
| 35 |
- drag vae decoder(s) to vae folder (./ComfyUI/models/vae)
|
| 36 |
|
| 37 |
+
## run it straight (no installation needed way)
|
| 38 |
+
- get the comfy pack with the new gguf-node ([beta](https://github.com/calcuis/gguf/releases))
|
| 39 |
+
- run the .bat file in the main directory
|
| 40 |
+
|
| 41 |
### **workflow**
|
| 42 |
- drag any workflow json file to the activated browser; or
|
| 43 |
- drag any generated output file (i.e., picture, video, etc.; which contains the workflow metadata) to the activated browser
|