Spaces:
Running
on
A100
Running
on
A100
Avijit Ghosh
commited on
Commit
•
64fe77f
1
Parent(s):
1b1e359
removed wrappers
Browse files
app.py
CHANGED
@@ -15,17 +15,12 @@ import numpy as np
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from matplotlib.colors import hex2color
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pipeline_text2image =
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"stabilityai/sdxl-turbo",
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torch_dtype=torch.float16,
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variant="fp16",
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)
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pipeline_text2image = pipeline_text2image.to("cuda")
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@spaces.GPU
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@@ -37,17 +32,12 @@ def getimgen(prompt):
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num_inference_steps=2
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).images[0]
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blip_processor = None
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blip_model = BlipForConditionalGeneration.from_pretrained(
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"Salesforce/blip-image-captioning-large",
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torch_dtype=torch.float16
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).to("cuda")
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@spaces.GPU
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@@ -143,9 +133,6 @@ with gr.Blocks(title = "Skin Tone and Gender bias in SDXL Demo - Inference API")
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gr.Markdown("# Skin Tone and Gender bias in SDXL Demo")
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loadpipeline()
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loadblip()
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prompt = gr.Textbox(label="Enter the Prompt")
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gallery = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery",
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columns=[5], rows=[2], object_fit="contain", height="auto")
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from matplotlib.colors import hex2color
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pipeline_text2image = AutoPipelineForText2Image.from_pretrained(
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"stabilityai/sdxl-turbo",
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torch_dtype=torch.float16,
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variant="fp16",
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)
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pipeline_text2image = pipeline_text2image.to("cuda")
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@spaces.GPU
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num_inference_steps=2
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).images[0]
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blip_processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
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blip_model = BlipForConditionalGeneration.from_pretrained(
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"Salesforce/blip-image-captioning-large",
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torch_dtype=torch.float16
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).to("cuda")
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@spaces.GPU
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gr.Markdown("# Skin Tone and Gender bias in SDXL Demo")
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prompt = gr.Textbox(label="Enter the Prompt")
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gallery = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery",
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columns=[5], rows=[2], object_fit="contain", height="auto")
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