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Update app.py
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app.py
CHANGED
@@ -62,7 +62,7 @@ def download_file(url, folder_path, filename):
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# Download ESRGAN models
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download_file("https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x2.pth?download=true", "models/upscalers/", "RealESRGAN_x2.pth")
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download_file("https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth?download=true", "models/upscalers/", "RealESRGAN_x4.pth")
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download_file("https://huggingface.co/silveroxides/sdxl_lowstep_beta_v1/resolve/main/pytorch_lora_weights.safetensors?download=true", "models/lora/", "LowStepBeta_v001.safetensors")
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# Download the model files
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ckpt_dir_realpony = snapshot_download(repo_id="silveroxides/RNS_RealPonyV20")
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ckpt_dir_noobai = snapshot_download(repo_id="silveroxides/NoobAI-XL-EPS-1.0-Vwe")
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@@ -126,8 +126,8 @@ DEFAULT_NEGATIVE_SUFFIX = "low quality, low resolution, simple background, bad c
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# Initialize Florence model
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device = "cuda" if torch.cuda.is_available() else "cpu"
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lora_model_path = "models/lora/LowStepBeta_v001.safetensors"
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lora = load_file(lora_model_path, device=device)
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#def load_models():
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#with patch("transformers.dynamic_module_utils.get_imports", fixed_get_imports):
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@@ -227,7 +227,7 @@ def generate_image(model_choice, additional_positive_prompt, additional_negative
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pipe = pipe_hybridpony
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if use_lowstep_lora:
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if use_random_seed:
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seed = random.randint(0, 2**32 - 1)
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# Download ESRGAN models
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download_file("https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x2.pth?download=true", "models/upscalers/", "RealESRGAN_x2.pth")
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download_file("https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth?download=true", "models/upscalers/", "RealESRGAN_x4.pth")
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# download_file("https://huggingface.co/silveroxides/sdxl_lowstep_beta_v1/resolve/main/pytorch_lora_weights.safetensors?download=true", "models/lora/", "LowStepBeta_v001.safetensors")
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# Download the model files
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ckpt_dir_realpony = snapshot_download(repo_id="silveroxides/RNS_RealPonyV20")
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ckpt_dir_noobai = snapshot_download(repo_id="silveroxides/NoobAI-XL-EPS-1.0-Vwe")
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# Initialize Florence model
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# lora_model_path = "models/lora/LowStepBeta_v001.safetensors"
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# lora = load_file(lora_model_path, device=device)
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#def load_models():
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#with patch("transformers.dynamic_module_utils.get_imports", fixed_get_imports):
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pipe = pipe_hybridpony
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if use_lowstep_lora:
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pipeline.unet.load_attn_procs("silveroxides/sdxl_lowstep_beta_v1", weight_name="pytorch_lora_weights.safetensors")
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if use_random_seed:
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seed = random.randint(0, 2**32 - 1)
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