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TheBirdLegacy
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NGA_Art_SD-V1.5

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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("TheBirdLegacy/NGA_Art_SD-V1.5", dtype=torch.bfloat16, device_map="cuda")

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

NGA_Art_SD-V1.5 Model Card

TL;DR:NGA Art is a Dreambooth model trained from public domain images from the National Art Gallery. The token is sks.

Model Pretraining

This model is trained on top Stable Diffusion 1.5

Data

The data for NGA is located on this page and was scraped from [Wikimedia Commons]. This dataset is 500 images in size. The dataset page goes into more detail.

Examples

(TBD)

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Dataset used to train TheBirdLegacy/NGA_Art_SD-V1.5