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Runtime error
Runtime error
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•
10151ae
1
Parent(s):
dc9311b
Update app.py
Browse files
app.py
CHANGED
@@ -204,7 +204,10 @@ def merge_incompatible_lora(full_path_lora, lora_scale):
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del weights_sd
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del lora_model
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@spaces.GPU
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-
def generate_image(prompt, negative, face_emb, face_image, face_kps, image_strength, guidance_scale, face_strength, depth_control_scale, repo_name, loaded_state_dict, lora_scale, sdxl_loras, selected_state_index):
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global last_fused, last_lora
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print("Last LoRA: ", last_lora)
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print("Current LoRA: ", repo_name)
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@@ -259,6 +262,7 @@ def generate_image(prompt, negative, face_emb, face_image, face_kps, image_stren
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elapsed_time = et - st
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print('Prompt processing took: ', elapsed_time, 'seconds')
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print("Processing image...")
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image = pipe(
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prompt_embeds=conditioning,
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pooled_prompt_embeds=pooled,
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@@ -274,6 +278,9 @@ def generate_image(prompt, negative, face_emb, face_image, face_kps, image_stren
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guidance_scale = guidance_scale,
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controlnet_conditioning_scale=[face_strength, depth_control_scale],
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).images[0]
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last_lora = repo_name
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return image
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@@ -320,8 +327,9 @@ def run_lora(face_image, prompt, negative, lora_scale, selected_state, face_stre
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et = time.time()
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elapsed_time = et - st
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print('Small content processing took: ', elapsed_time, 'seconds')
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return image, gr.update(visible=True)
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def shuffle_gallery(sdxl_loras):
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del weights_sd
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del lora_model
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@spaces.GPU
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+
def generate_image(prompt, negative, face_emb, face_image, face_kps, image_strength, guidance_scale, face_strength, depth_control_scale, repo_name, loaded_state_dict, lora_scale, sdxl_loras, selected_state_index, st):
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et = time.time()
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elapsed_time = et - st
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print('Getting into the decorated function took: ', elapsed_time, 'seconds')
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global last_fused, last_lora
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print("Last LoRA: ", last_lora)
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print("Current LoRA: ", repo_name)
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elapsed_time = et - st
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print('Prompt processing took: ', elapsed_time, 'seconds')
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print("Processing image...")
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st = time.time()
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image = pipe(
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prompt_embeds=conditioning,
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pooled_prompt_embeds=pooled,
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guidance_scale = guidance_scale,
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controlnet_conditioning_scale=[face_strength, depth_control_scale],
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).images[0]
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et = time.time()
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elapsed_time = et - st
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print('Image processing took: ', elapsed_time, 'seconds')
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last_lora = repo_name
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return image
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et = time.time()
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elapsed_time = et - st
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print('Small content processing took: ', elapsed_time, 'seconds')
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st = time.time()
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image = generate_image(prompt, negative, face_emb, face_image, face_kps, image_strength, guidance_scale, face_strength, depth_control_scale, repo_name, loaded_state_dict, lora_scale, sdxl_loras, selected_state_index, st)
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return image, gr.update(visible=True)
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def shuffle_gallery(sdxl_loras):
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