How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
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("cxj009/model_lora_yufeihong")

prompt = "yufeihong"
image = pipe(prompt).images[0]

YAML Metadata Error:"base_model" with value "/DATA2/chilloutmix/" is not valid. Use a model id from https://hf.co/models.

LoRA DreamBooth - cxj009/model_lora_yufeihong

These are LoRA adaption weights for /DATA2/chilloutmix/. The weights were trained on yufeihong using DreamBooth. You can find some example images in the following.

img_0 img_1 img_2 img_3

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