Views
No views yet
[hot] to trigger the image generation.1from diffusers import AutoPipelineForText2Image
2import torch
3
4pipeline = AutoPipelineForText2Image.from_pretrained('Qwen/Qwen-Image', torch_dtype=torch.bfloat16).to('cuda')
5pipeline.load_lora_weights('resnet101/hot-art-qwen-lora', weight_name='hot-art-qwen_000000900.safetensors')
6image = pipeline('[hot]').images[0]
7image.save("my_image.png")