Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lykon/DreamShaper", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("stablediffusionapi/my-stablediffusion-lora-4204")
prompt = "material, mahogany, floor, interior, living room,"
image = pipe(prompt).images[0]AutoTrain LoRA DreamBooth - stablediffusionapi/my-stablediffusion-lora-4204
These are LoRA adaption weights for Lykon/DreamShaper. The weights were trained on material, mahogany, floor, interior, living room, using DreamBooth. LoRA for the text encoder was enabled: False.
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Base model
Lykon/DreamShaper