Instructions to use cale/greeting-card-generator-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cale/greeting-card-generator-flux 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("cale/greeting-card-generator-flux") prompt = "<lora:Greeting_Card_Designer_FLUX:0.7> The image is a photograph showcasing a beautifully designed thank-you card held by a hand. The card features a warm, inviting design with a light beige background. The main text, \"THANKS FOR NOTHING,\" is written in a bold, elegant script in a deep brown color. Surrounding the text are stylized illustrations of flowers and leaves. The flowers are depicted in shades of pink and peach, with the leaves in varying shades of green and brown. The illustrations give the card a hand-drawn, watercolor-like appearance with a modern, whimsical touch. In the background, several other thank-you cards are visible. One card, partially visible, has text reading \"You're the worst.\" Another card, slightly obscured, has text that says \"I hate you.\" These cards are also adorned with similar floral and leaf designs, maintaining the consistent aesthetic of the main card." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K