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from lcm_pipeline import LatentConsistencyModelPipeline |
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from lcm_scheduler import LCMScheduler |
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import hf_image_uploader as hiu |
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import torch |
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scheduler = LCMScheduler.from_pretrained("charliebaby2023/p_y", subfolder="scheduler") |
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pipe = LatentConsistencyModelPipeline.from_pretrained("charliebaby2023/p_y", scheduler=scheduler) |
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pipe.to("cuda", dtype=torch.float16) |
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prompt = "a red horse" |
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images = pipe(prompt=prompt, guidance_scale=8.0, num_inference_steps=4, lcm_origin_steps=50, output_type="pil").images |
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for image in images: |
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hiu.upload(image, "patrickvonplaten/images") |
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