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", torch_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
24
Safetensors
Model size
0.9B params
Tensor type
F32
Β·
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 45