Instructions to use Jonjew/StarTrekTNG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/StarTrekTNG 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("Jonjew/StarTrekTNG") prompt = "A high-quality photo capturing three people in red TNG uniform, blue TNG uniform, and yellow TNG uniform walking together through a sleek starship corridor. The corridor is illuminated by soft, futuristic lighting with glowing panels and high-tech control stations lining the walls. The individuals, each dressed in their respective uniforms, are engaged in animated conversation, exuding camaraderie and teamwork. The red-uniformed person, with a confident stride, gestures as they speak, while the blue-uniformed person listens intently, smiling with enthusiasm. The person in yellow, slightly ahead, glances back with a friendly expression. The uniforms are impeccably detailed, with their respective colors and insignias clearly visible. The corridor’s futuristic design features metallic surfaces, sleek lines, and subtle holographic displays, creating a dynamic and immersive setting. The photo captures the essence of adventure and collaboration aboard a starship." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!