Instructions to use Yntec/DelicateModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DelicateModel 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/DelicateModel", 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
Delicate Model
Merging my favorite things from the Lehina Model and Delicate! Showcase and prompts (all use seed 9119):
In autumn, a calm Japanese garden with a koi pond, tea house, maple trees, and falling leaves is depicted in a digital image with an AI art style.
At night, a highly detailed digital painting of an innovative cyberpunk cityscape featuring neon-lit skyscrapers, a mixed crowd, and flying cars.
A high-fantasy art style depicts the magical geography of floating islands, magical artifacts, and ancient ruins boosted by Final Fantasy environments.
A colorful and playful forest full of magical creatures, a river, and glowing plants, painted in a style similar to video games.
Recipe:
- SuperMerger Weight Sum Use MBW 1,0,0,0,0,0,0,0,0,0,1,1,1,0,1,1,1,1,1,1,0,0,0,1,1,1
Model A:
Delicate
Model B:
LehinaModel
Output:
DelicateModel
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Model tree for Yntec/DelicateModel
Base model
Yntec/LehinaModel


