Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("ashnrk/textual_inversion_annual_crop", dtype=torch.bfloat16, device_map="cuda")
prompt = "a centered satellite photo of <annual-crop> annual crop land."
image = pipe(prompt).images[0]DreamBooth - ashnrk/textual_inversion_annual_crop
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a centered satellite photo of annual crop land. using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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Base model
runwayml/stable-diffusion-v1-5