Text-to-Image
Diffusers
TensorBoard
Safetensors
Sana
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
diffusers-training
lora
sana-diffusers
template:sd-lora
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("darkstorm2150/Protogen_x3.4_Official_Release", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ainjarts/output")
prompt = "a photo of ohwx woman"
image = pipe(prompt).images[0]DreamBooth - ainjarts/output
This is a dreambooth model derived from darkstorm2150/Protogen_x3.4_Official_Release. The weights were trained on a photo of ohwx woman using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: True.
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Base model
darkstorm2150/Protogen_x3.4_Official_Release