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trey-cat-sdxl-lora.safetensors here 💾.
models/Lora folder.<lora:trey-cat-sdxl-lora:1> to your prompt. On ComfyUI just load it as a regular LoRA.trey-cat-sdxl-lora_emb.safetensors here 💾.
embeddings foldertrey-cat-sdxl-lora_emb to your prompt. For example, photo of a TREY cat
(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('trey-cat-sdxl-lora', weight_name='pytorch_lora_weights.safetensors')
8embedding_path = hf_hub_download(repo_id='trey-cat-sdxl-lora', filename='trey-cat-sdxl-lora_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('a TREY cat on the floor').images[0]Trey cat → use TREY cat in your prompt