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Update app.py
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app.py
CHANGED
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@@ -58,6 +58,17 @@ hidden_negative = "bad anatomy, disfigured, poorly drawn,deformed, mutation, mal
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hidden_cn_booster_text = ",漂亮的脸"
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hidden_cn_negative = ""
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def translate(prompt):
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trans_text = prompt
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translated = model.generate(**tokenizer(trans_text, return_tensors="pt", padding=True))
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@@ -70,10 +81,6 @@ def translate(prompt):
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def load_pipe_scribble():
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global pipe_scribble
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if pipe_scribble is None:
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hed = HEDdetector.from_pretrained('lllyasviel/ControlNet')
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controlnet_scribble = ControlNetModel.from_pretrained(
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"lllyasviel/sd-controlnet-scribble", torch_dtype=torch.float16, safety_checker=None, requires_safety_checker=False, )
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pipe_scribble = StableDiffusionControlNetPipeline.from_single_file(
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"https://huggingface.co/shellypeng/anime-god/blob/main/animeGod_v10.safetensors", controlnet=controlnet_scribble, safety_checker=None, requires_safety_checker=False,
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@@ -97,11 +104,6 @@ def load_pipe_scribble():
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def load_pipe_depth():
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global pipe_depth
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if pipe_depth is None:
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depth_estimator = pipeline('depth-estimation')
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controlnet_depth = ControlNetModel.from_pretrained(
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"lllyasviel/sd-controlnet-depth", torch_dtype=torch.float16
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)
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pipe_depth = StableDiffusionControlNetPipeline.from_single_file(
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hidden_cn_booster_text = ",漂亮的脸"
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hidden_cn_negative = ""
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hed = HEDdetector.from_pretrained('lllyasviel/ControlNet')
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controlnet_scribble = ControlNetModel.from_pretrained(
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"lllyasviel/sd-controlnet-scribble", torch_dtype=torch.float16, safety_checker=None, requires_safety_checker=False, )
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depth_estimator = pipeline('depth-estimation')
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controlnet_depth = ControlNetModel.from_pretrained(
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"lllyasviel/sd-controlnet-depth", torch_dtype=torch.float16
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)
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def translate(prompt):
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trans_text = prompt
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translated = model.generate(**tokenizer(trans_text, return_tensors="pt", padding=True))
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def load_pipe_scribble():
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global pipe_scribble
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if pipe_scribble is None:
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pipe_scribble = StableDiffusionControlNetPipeline.from_single_file(
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"https://huggingface.co/shellypeng/anime-god/blob/main/animeGod_v10.safetensors", controlnet=controlnet_scribble, safety_checker=None, requires_safety_checker=False,
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def load_pipe_depth():
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global pipe_depth
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if pipe_depth is None:
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pipe_depth = StableDiffusionControlNetPipeline.from_single_file(
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