Views
No views yet
1from diffusers import AutoPipelineForText2Image
2import torch
3
4pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
5pipeline.load_lora_weights('626d7ad2-c5e8-4d58-88a9-42a3114f852d', weight_name='pytorch_lora_weights.safetensors')
6
7image = pipeline('a ohwx character').images[0]