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("Dipl0/pepe-diffuser", dtype=torch.bfloat16, device_map="cuda")

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

How to use

To prompt you can use the following code

  from diffusers import StableDiffusionPipeline
  
  model_path = "Dipl0/pepe-diffuser"
  pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
  pipe.to("cuda")
  
  prompt = "pepe surfing on the moon"
  image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
  image.save(prompt.replace(" ","_") + ".png")
Downloads last month
4
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Spaces using Dipl0/pepe-diffuser 4