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sourceoftruthdata
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sot_autotrain_dreambooth_v1

Text-to-Image
Diffusers
Trained with AutoTrain
Model card Files
xet
 Community
1
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("sourceoftruthdata/sot_autotrain_dreambooth_v1", dtype=torch.bfloat16, device_map="cuda")

prompt = "a hand drawn painting in the style of picasso with geometric shapes"
image = pipe(prompt).images[0]

DreamBooth trained by AutoTrain

Text encoder was not trained.
This is the model that feeds the Google Colab Notebook.
The model is a simplified version of the DreamBooth model.

Type in a prompt, get an image.

The user is responsible for utilizing this application.

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