Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
science
Instructions to use HugeFighter/trex-dinosaur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HugeFighter/trex-dinosaur with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HugeFighter/trex-dinosaur", dtype=torch.bfloat16, device_map="cuda") prompt = "Photorealistic trex dinosaur, (Jurassic Park) lush greenery, towering prehistoric ferns, dramatic lighting casting shadows, (intense expression), rugged texture of scales, ferocious stance, misty atmosphere, high-quality detail, 4K, (cinematic depth), vibrant colors of nature, embedding a sense of ancient history, (dynamic environment) teeming with life and excitement." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!