Instructions to use Yaquv/rickthenpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yaquv/rickthenpc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Yaquv/rickthenpc") prompt = "Bald purple Rick" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
add: model_index.json (#1)
Verified signature- add: model_index.json (3b89261e41a7dfc90c7bb69265ff91a189e0e4f3) Co-authored-by: Mehdi Merabet <ferrymangmi@users.noreply.huggingface.co>8a5e7e5
-
Add rickthenpc.safetensors
Verified signature76e3663 -
initial commit
Verified signaturef47408c