How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Yntec/Gacha", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Gacha

A model with the gacha mechanic implemented to get you addicted to generating images.

Samples and prompts:

Samples

(Click for larger)

Top left: a lemon themed hamburger, high quality

Top right: a basket full of cherries, grass by wess anderson, high quality

Bottom left: A mushroom themed cake, high quality pie

Bottom right: highly detailed chibi koala in kitchen, hammer chef, fish, dungeons and dragons

Downloads last month
25
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for Yntec/Gacha

Finetuned
(1)
this model
Merges
1 model

Spaces using Yntec/Gacha 47