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("digiplay/AingDiffusion9.2", dtype=torch.bfloat16, device_map="cuda")

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

https://civitai.com/models/34553?modelVersionId=156882

Sample image I made generated by huggingface's API :

bed02f8f-af77-426a-baf9-490ad1788dd2.jpeg

bright color ,sharp focus ,girl,looking at viewer ,lake,ultra-detailed ,clear lines,light lines,4k 8k,movie ,upper body ,photo-realistic ,ultra photorealistic ,photo background,masterpiece ,3d,movie Lighting ,skin details ,

Downloads last month
9
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for digiplay/AingDiffusion9.2

Finetunes
1 model

Spaces using digiplay/AingDiffusion9.2 47