lixiang46 commited on
Commit
ae6a57b
1 Parent(s): 6ef1dc4
app.py CHANGED
@@ -12,8 +12,11 @@ import gradio as gr
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  import numpy as np
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  device = "cuda"
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- ckpt_dir = snapshot_download(repo_id="Kwai-Kolors/Kolors")
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- ckpt_IPA_dir = snapshot_download(repo_id="Kwai-Kolors/Kolors-IP-Adapter-Plus")
 
 
 
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  # Load models
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  text_encoder = ChatGLMModel.from_pretrained(f'{ckpt_dir}/text_encoder', torch_dtype=torch.float16).half().to(device)
@@ -60,8 +63,7 @@ def infer(prompt, ip_adapter_image, ip_adapter_scale, negative_prompt, seed, ran
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  num_inference_steps=num_inference_steps,
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  guidance_scale=guidance_scale,
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  num_images_per_prompt=1,
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- generator=generator,
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- image_encoder=image_encoder,
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  ).images[0]
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  return image
@@ -173,4 +175,4 @@ with gr.Blocks(css=css) as demo:
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  outputs = [result]
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  )
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- demo.queue().launch()
 
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  import numpy as np
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  device = "cuda"
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+ device = "cuda"
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+ ckpt_dir = '/home/lixiang46/Kolors/weights/Kolors'
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+ ckpt_IPA_dir = '/home/lixiang46/Kolors/weights/Kolors-IP-Adapter-Plus'
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+ # ckpt_dir = snapshot_download(repo_id="Kwai-Kolors/Kolors")
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+ # ckpt_IPA_dir = snapshot_download(repo_id="Kwai-Kolors/Kolors-IP-Adapter-Plus")
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  # Load models
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  text_encoder = ChatGLMModel.from_pretrained(f'{ckpt_dir}/text_encoder', torch_dtype=torch.float16).half().to(device)
 
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  num_inference_steps=num_inference_steps,
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  guidance_scale=guidance_scale,
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  num_images_per_prompt=1,
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+ generator=generator
 
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  ).images[0]
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  return image
 
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  outputs = [result]
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  )
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+ demo.queue().launch(share=True)
kolors/__pycache__/__init__.cpython-38.pyc ADDED
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kolors/models/__pycache__/__init__.cpython-38.pyc ADDED
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kolors/models/__pycache__/configuration_chatglm.cpython-38.pyc ADDED
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kolors/pipelines/__pycache__/__init__.cpython-38.pyc ADDED
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kolors/pipelines/__pycache__/pipeline_stable_diffusion_xl_chatglm_256_ipadapter.cpython-38.pyc ADDED
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