Instructions to use CNEFG/Graaaaaaaaaaaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CNEFG/Graaaaaaaaaaaa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WIBE-HuggingFace/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("CNEFG/Graaaaaaaaaaaa") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 538 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/IMG_1130.png
text: Screenshot
base_model: WIBE-HuggingFace/stable-diffusion-2-1-base
instance_prompt: Mr Zora 2
license: other
license_name: other
license_link: LICENSE
---
# Fahhhhh
<Gallery />
## Model description
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## Trigger words
You should use `Mr Zora 2` to trigger the image generation.
## Download model
[Download](/CNEFG/Graaaaaaaaaaaa/tree/main) them in the Files & versions tab.
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