Instructions to use chamuditha4/claymotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chamuditha4/claymotion 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("chamuditha4/claymotion") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
Generated example for model chamuditha4/claymotion.
Prompt: A vibrant 21-year-old American Biracial male in a Pixar 3D animation. He has medium brown skin with a healthy, sun-kissed glow. His distinctive purple dreadlocks cascade down, adding a dynamic flair to his angular features. His deep-set green eyes brim with a mix of curiosity and adventure, contrasting strikingly with his hair. He stands tall and confident, wearing a casual yet stylish outfit that reflects his unique personality. A fitted forest green hoodie with intricate patterns complements his eye color, paired with dark denim jeans. His relaxed stance has his hands casually resting at his sides or tucked into his jeans' pockets. The setting is a lively urban backdrop, bustling with vibrant colors and whimsical elements, echoing the feel of an animated Pixar 3D scene. Neon lights and playful graffiti create a modern, energetic environment that highlights his youthful charm and distinctive appearance.