Instructions to use Chuso/chusia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chuso/chusia 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("Chuso/chusia") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
Generated example for model Chuso/chusia.
Prompt: A fit chusia visiting a famous landmark in Japan, standing with a casual outfit, holding a professional camera, full-body shot. The person has well-defined muscles, with t-shirt, looks natural and photorealistic, with realistic skin textures and lighting. The background showcases a stunning Japanese landscape with vibrant colors, a clear blue sky, and soft natural sunlight. The landmark is detailed, blending harmoniously with the environment. The image captures an immersive, travel-inspired composition, with a cinematic depth of field, ultra-high detail, and realistic reflections. The person appears naturally integrated into the scene, standing confidently and enjoying the moment. The atmosphere is warm and inviting, exuding a sense of adventure and exploration.