Instructions to use johnowhitaker/sd-class-wikiart-from-bedrooms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johnowhitaker/sd-class-wikiart-from-bedrooms with Diffusers:
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] - Notebooks
- Google Colab
- Kaggle
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
- Downloads last month
- 107
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support