Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
riffusion
StableDiffusionPipeline
Instructions to use hdparmar/tradfusion-model-e4-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hdparmar/tradfusion-model-e4-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hdparmar/tradfusion-model-e4-v1", 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
- Local Apps
- Draw Things
- DiffusionBee
Example Fine-Tuned Model for Irish Traditional Tunes of the Diffusion Models Class 🧨
Fine-tuned Stable Diffusion Model for Irish Traditional Tunes (Epoch 4, 27k steps)
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('hdparmar/tradfusion-model-e4-v1')
image = pipeline().images[0]
image
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