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("lotfiGH/saved_model", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of biotherm product"
image = pipe(prompt).images[0]DreamBooth - lotfiGH/saved_model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of biotherm product 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 lotfiGH/saved_model
Base model
CompVis/stable-diffusion-v1-4