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Runtime error
Runtime error
Update app.py
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app.py
CHANGED
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@@ -36,20 +36,24 @@ def predict(prompt, negative_prompt, guidance_scale, num_inference_steps,model,
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pipeline.scheduler = scheduler.from_pretrained("emilianJR/epiCRealism", subfolder="scheduler", **add_kwargs)
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lora = "profaker/add_detail_lora"
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if lora == "nursing_job":
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lora = "profaker/Nursing_job_lora"
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if lora == "nsfw_POV":
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lora = "profaker/NSFW_POV_lora"
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if lora == "nayanthara":
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lora = "profaker/Naya_lora"
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if lora == "None":
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images = pipeline(
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=int(num_inference_steps),
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guidance_scale=guidance_scale
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).images[0]
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print("Prompt", prompt)
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print("Negative", negative_prompt)
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@@ -129,10 +133,9 @@ with image_blocks as demo:
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scheduler = gr.Dropdown(label="Schedulers", choices=schedulers,
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value="DPMSolverMultistepScheduler-Karras")
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with gr.Row(equal_height=True):
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loras = ['None','add_detail',
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lora = gr.Dropdown(label='Lora', choices=loras, value="None")
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lora_weight = gr.Dropdown(label="Lora Weights", choices=lora_weights, value=0.5)
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with gr.Row(equal_height=True):
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btn = gr.Button("Generate", elem_id="run_button")
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pipeline.scheduler = scheduler.from_pretrained("emilianJR/epiCRealism", subfolder="scheduler", **add_kwargs)
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if lora == "nayanthara":
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lora = "profaker/Naya_lora"
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if lora == "saipallavi":
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lora = "profaker/saipallavi_lora"
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if lora == "shobita":
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lora = "profaker/Shobita_lora"
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if lora == "surya":
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lora = "profaker/Surya_lora"
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if lora == "vijay":
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lora = "profaker/Vijay_lora"
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if lora == "None":
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images = pipeline(
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=int(num_inference_steps),
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guidance_scale=guidance_scale,
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clip_skip=1
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).images[0]
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print("Prompt", prompt)
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print("Negative", negative_prompt)
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scheduler = gr.Dropdown(label="Schedulers", choices=schedulers,
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value="DPMSolverMultistepScheduler-Karras")
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with gr.Row(equal_height=True):
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loras = ['None','add_detail','nayanthara','shobita','surya','vijay','saipallavi']
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lora = gr.Dropdown(label='Lora', choices=loras, value="None")
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lora_weight = gr.Number(value=0.5, minimum=0, maximum=1, step=0.01, label="Lora Weights")
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with gr.Row(equal_height=True):
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btn = gr.Button("Generate", elem_id="run_button")
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