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shitao-artwork-sdxl-lora2.safetensors here 💾.
models/Lora folder.<lora:shitao-artwork-sdxl-lora2:1> to your prompt. On ComfyUI just load it as a regular LoRA.shitao-artwork-sdxl-lora2_emb.safetensors here 💾.
embeddings foldershitao-artwork-sdxl-lora2_emb to your prompt. For example, artwork in the style of styj
(you need both the LoRA and the embeddings as they were trained together for this LoRA)1from diffusers import AutoPipelineForText2Image
2import torch
3from huggingface_hub import hf_hub_download
4from safetensors.torch import load_file
5
6pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
7pipeline.load_lora_weights('wintercoming6/shitao-artwork-sdxl-lora2', weight_name='pytorch_lora_weights.safetensors')
8embedding_path = hf_hub_download(repo_id='wintercoming6/shitao-artwork-sdxl-lora2', filename='shitao-artwork-sdxl-lora2_emb.safetensors', repo_type="model")
9state_dict = load_file(embedding_path)
10pipeline.load_textual_inversion(state_dict["clip_l"], token=[], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
11pipeline.load_textual_inversion(state_dict["clip_g"], token=[], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
12
13image = pipeline('an woman riding a horse, in the style of styj').images[0]TOK → use <s0><s1> in your prompt