Instructions to use Yntec/ChiliConCarne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ChiliConCarne with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/ChiliConCarne", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Chili Con Carne
Model specialized in Food Photography.
Samples and prompts:
(Click for larger)
Top Left: hamburger with melted cheese splashing on top of it, highly stylized, 4k, unreal engine 5 render, food art, food photography, realistic render, smoke, mist, dramatic lighting, cinematic lighting, rule of thirds, depth of field, cinematic bloom, art by
Top Right: lemon icecream with mapple syrup and chocolate, highly stylized, 4k, unreal engine 5 render, food art, food photography, realistic render, smoke, mist, dramatic lighting, cinematic lighting, rule of thirds, depth of field, cinematic bloom, art by
Bottom Left: pizza, raining cheese, roast jalapeΓ±os with tomato, highly stylized, 4k, unreal engine 5 render, food art, food photography, realistic render, smoke, mist, dramatic lighting, cinematic lighting, rule of thirds, depth of field, cinematic bloom, art by
Bottom Right: Chili con Carne, classic ground beef, beans, meatballs, highly stylized, 4k, unreal engine 5 render, food art, food photography, realistic render, smoke, mist, dramatic lighting, cinematic lighting, rule of thirds, depth of field, cinematic bloom, art by
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