import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Hawk91/sd-Pokemon", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Model Card for Unit 1 of the Diffusion Models Class 🧨
If you are wondering what would happen when a model trained on a bunch of images pokemons and then denoising them using Diffusion, then check out this model.
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Hawk91/sd-Pokemon')
image = pipeline().images[0]
image
- Downloads last month
- 5
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support