import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("ethers/avril15s02-lora-model")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA text2image fine-tuning - https://huggingface.co/ethers/avril15s02-lora-model
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the ethers/avril15s02-blip-datasets dataset. You can find some example images in the following.
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Model tree for ethers/avril15s02-lora-model
Base model
CompVis/stable-diffusion-v1-4