Instructions to use fingerprinted/hellohello with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fingerprinted/hellohello with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/hellopure_v2.23", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fingerprinted/hellohello") prompt = "hellohello" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
hellohello
- Prompt
- hellohello
- Negative Prompt
- hellohello
Model description
hello
Trigger words
You should use hello to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for fingerprinted/hellohello
Base model
digiplay/hellopure_v2.23