import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("barry556652/LoRAtest")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" with value "/root/notebooks/nfs/work/barry.chen/diffusers/examples/text_to_image/model/F1210_L2016_5000" is not valid. Use a model id from https://hf.co/models.
LoRA text2image fine-tuning - https://huggingface.co/barry556652/LoRAtest
These are LoRA adaption weights for /root/notebooks/nfs/work/barry.chen/diffusers/examples/text_to_image/model/F1210_L2016_5000. The weights were fine-tuned on the barry556652/broke dataset. You can find some example images in the following.
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