Instructions to use cfahlgren1/flux-qwen-capybara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cfahlgren1/flux-qwen-capybara 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("cfahlgren1/flux-qwen-capybara") prompt = "An adorable anthropomorphic capybara mascot with hipster glasses and a quirky tech t-shirt sits at a futuristic desk, intensely focused on a sleek laptop. Its paws type on the keyboard, the screen displaying \"SQL\". Only show text \"SQL\" in orange font on the laptop screen. Capybara wears a blank tshirt. The scene is vibrant and energetic, blending cute charm with high-tech elements. The lighting is soft and warm, casting a gentle glow from the laptop screen, with a cool blue ambient light from the futuristic desk. The background is a sleek, modern office with a hint of Flux LORA style, adding a whimsical touch. Film grain is subtle, and the color grading enhances the vibrant, playful atmosphere." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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