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("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("philipp-zettl/borderlands")
prompt = "A cat playing with a ball"
image = pipe(prompt).images[0]AutoTrain LoRA DreamBooth - philipp-zettl/borderlands
These are LoRA adaption weights for stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on in the style of DSYL using DreamBooth. LoRA for the text encoder was enabled: True.
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stable-diffusion-v1-5/stable-diffusion-v1-5