Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("LoPPiper/model_2", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of house"
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" with value "./stable-diffusion-2-base" is not valid. Use a model id from https://hf.co/models.
DreamBooth - LoPPiper/model_2
This is a dreambooth model derived from ./stable-diffusion-2-base. The weights were trained on a photo of house using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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