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("johnowhitaker/sd-class-wikiart-from-bedrooms", dtype=torch.bfloat16, device_map="cuda")

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

Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class 🧨

This model is a diffusion model initialized from https://huggingface.co/google/ddpm-bedroom-256 and trained for 5000 steps on https://huggingface.co/datasets/huggan/wikiart. Script: https://github.com/huggingface/diffusion-models-class/blob/main/unit2/finetune_model.py Training Logs (with example images): https://wandb.ai/johnowhitaker/dm_finetune/runs/2upaa341

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('johnowhitaker/sd-class-wikiart-from-bedrooms')
image = pipeline().images[0]
image
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