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import torch |
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import time |
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import hf_image_uploader as hiu |
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start_time = time.time() |
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from diffusers import DiffusionPipeline |
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import torch |
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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16) |
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pipe.to(torch_dtype=torch.float16) |
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pipe.to("cuda") |
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torch.manual_seed(33) |
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prompt = "a mecha robot" |
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negative_prompt = "text, watermark" |
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torch.manual_seed(0) |
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image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=25).images[0] |
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hiu.upload(image, "patrickvonplaten/images") |
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pipe.load_lora_weights("davizca87/sun-flower", weight_name="snfw3rXL-000004.safetensors") |
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pipe.fuse_lora() |
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pipe.unload_lora_weights() |
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torch.manual_seed(0) |
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image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=25).images[0] |
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hiu.upload(image, "patrickvonplaten/images") |
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pipe.unfuse_lora() |
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torch.manual_seed(0) |
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image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=25).images[0] |
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hiu.upload(image, "patrickvonplaten/images") |
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