import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("kusnim1121/stable-diffusion-one-piece-lora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA text2image fine-tuning
These are LoRA weights for runwayml/stable-diffusion-v1-5.
The weights were fine-tuned on the one-piece-with-caption dataset.
Limitations and bias
Due to resource limitations, LoRA weights could not be trained for a long time.
Longer training epochs may result in better results
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