Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -192,6 +192,10 @@ tag_model.to(device, dtype=weight_dtype)
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def process(
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input_image: Image.Image,
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user_prompt: str,
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positive_prompt: str,
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negative_prompt: str,
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num_inference_steps: int,
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@@ -208,15 +212,13 @@ def process(
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])
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-
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vlm_model=vlm_model,
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vlm_processor=vlm_processor,
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process_vision_info=process_vision_info,
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pil_image=input_image,
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device=device,
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)
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-
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print(f'oh lala, prompt tag:{prompt_tag}')
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# with torch.no_grad():
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seed_everything(seed)
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@@ -253,7 +255,8 @@ def process(
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height=height, width=width,
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guidance_scale=cfg_scale, conditioning_scale=1,
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start_point='lr', start_steps=999,ram_encoder_hidden_states=ram_encoder_hidden_states,
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latent_tiled_size=latent_tiled_size, latent_tiled_overlap=latent_tiled_overlap,
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).images[0]
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if True: # alpha<1.0:
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@@ -312,9 +315,12 @@ with block:
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examples = gr.Examples(
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examples=[
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[
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"preset/datasets/test_datasets/
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"",
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False,
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"clean, high-resolution, 8k, best quality, masterpiece",
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"dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
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50,
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@@ -324,11 +330,14 @@ with block:
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320,
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4,
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1,
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-
],
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[
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"preset/datasets/test_datasets/
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"",
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"clean, high-resolution, 8k, best quality, masterpiece",
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"dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
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50,
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@@ -338,11 +347,32 @@ with block:
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320,
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4,
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1,
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],
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],
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inputs=[
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input_image,
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user_prompt,
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positive_prompt,
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negative_prompt,
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num_inference_steps,
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@@ -360,6 +390,10 @@ with block:
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inputs = [
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input_image,
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user_prompt,
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positive_prompt,
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negative_prompt,
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num_inference_steps,
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@@ -373,4 +407,3 @@ with block:
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run_button.click(fn=process, inputs=inputs, outputs=[result_gallery])
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block.launch(share=True)
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-
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def process(
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input_image: Image.Image,
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user_prompt: str,
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+
use_KDS: bool,
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bandwidth: float,
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patch_size: int,
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num_particles: int,
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positive_prompt: str,
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negative_prompt: str,
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num_inference_steps: int,
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])
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+
user_prompt = _generate_vlm_prompt(
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vlm_model=vlm_model,
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vlm_processor=vlm_processor,
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process_vision_info=process_vision_info,
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pil_image=input_image,
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device=device,
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)
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# with torch.no_grad():
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seed_everything(seed)
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height=height, width=width,
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guidance_scale=cfg_scale, conditioning_scale=1,
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start_point='lr', start_steps=999,ram_encoder_hidden_states=ram_encoder_hidden_states,
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latent_tiled_size=latent_tiled_size, latent_tiled_overlap=latent_tiled_overlap,
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use_KDS=use_KDS, bandwidth=bandwidth, num_particles=num_particles, patch_size=patch_size,
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).images[0]
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if True: # alpha<1.0:
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examples = gr.Examples(
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examples=[
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[
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"preset/datasets/test_datasets/man.png",
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"",
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False,
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0.1,
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4,
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4,
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"clean, high-resolution, 8k, best quality, masterpiece",
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"dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
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50,
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320,
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4,
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1,
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],
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[
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"preset/datasets/test_datasets/man.png",
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"",
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True,
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0.1,
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16,
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4,
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"clean, high-resolution, 8k, best quality, masterpiece",
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"dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
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50,
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320,
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4,
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1,
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],
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[
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"preset/datasets/test_datasets/man.png",
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"",
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True,
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0.1,
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4,
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4,
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"clean, high-resolution, 8k, best quality, masterpiece",
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"dotted, noise, blur, lowres, oversmooth, longbody, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
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50,
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4,
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7.5,
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123,
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320,
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4,
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1,
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],
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],
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inputs=[
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input_image,
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user_prompt,
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use_KDS,
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bandwidth,
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patch_size,
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num_particles,
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positive_prompt,
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negative_prompt,
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num_inference_steps,
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inputs = [
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input_image,
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user_prompt,
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+
use_KDS,
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+
bandwidth,
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+
patch_size,
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num_particles,
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positive_prompt,
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negative_prompt,
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num_inference_steps,
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run_button.click(fn=process, inputs=inputs, outputs=[result_gallery])
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block.launch(share=True)
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