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("bryant0918/pokemon-lora")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA text2image fine-tuning - bryant0918/pokemon-lora
You can access my notebook to train the model here
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the diffusers/pokemon-gpt4-captions dataset. You can find some example images in the following.
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Model tree for bryant0918/pokemon-lora
Base model
runwayml/stable-diffusion-v1-5