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("AZhe1220/path-to-save-model", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of 38468 dress"
image = pipe(prompt).images[0]DreamBooth - AZhe1220/path-to-save-model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of 38468 dress using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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Model tree for AZhe1220/path-to-save-model
Base model
CompVis/stable-diffusion-v1-4