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Acedess
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sd-class-butterflies-32

Unconditional Image Generation
Diffusers
Safetensors
PyTorch
English
DDPMPipeline
diffusion-models-class
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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("Acedess/sd-class-butterflies-32", dtype=torch.bfloat16, device_map="cuda")

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

This is a test that how to upload my own pipeline to huggingface hub.

The model is used to generate butterfly images unconditionally with diffusion model. 

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('Acedess/sd-class-butterflies-32')
image = pipeline().images[0]
image
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