Instructions to use linhqyy/jazzy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use linhqyy/jazzy 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("linhqyy/jazzy") prompt = "This is a digital drawing with a warm, cozy, and slightly vintage aesthetic. The scene depicts a cozy living room setting with a light beige wall adorned with framed art and a small, black-and-white abstract print. In the foreground, a fluffy, cream-colored cat with a slightly darker face and ears sits attentively on a wooden shelf. To the left, a potted plant with small, colorful flowers and a lit candle in a brown vase provide a soft, inviting ambiance. The shelf holds a variety of items: a stack of colorful books, a vintage camera, and a green record player with a yellow record on it. The record player has a black needle and a small speaker. To the right of the cat, a green, retro-style radio is visible. The background features a small, round rug with a textured pattern, adding to the homely feel. The overall style is charming and nostalgic, with a focus on warm, earthy tones and a sense of comfort." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
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