Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
unconditional-image-generation
diffusion-models-class
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("hdparmar/tradfusion-v2-146", 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 🧨
Fine-tuned Stable Diffusion Model on Irish Traditional Tunes Spectrograms
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('hdparmar/tradfusion-v2-146')
image = pipeline().images[0]
image
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