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]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 jalapeños 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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