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app.py
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@@ -1,10 +1,10 @@
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import torch
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import io
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import spaces
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import gradio as gr
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import numpy as np
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from diffusers import AutoPipelineForText2Image
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from huggingface_hub import snapshot_download
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from PIL import Image
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SPACE_USERNAME = 'KR_4dmin'
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@@ -34,12 +34,7 @@ def infer(prompt, height, width, guidance_scale, num_inference_steps):
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# generator=generator
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).images[0]
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buffered = io.BytesIO()
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image.save(buffered, format="JPEG")
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jpeg_image = buffered.getvalue()
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return jpeg_image
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examples = [
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import spaces
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import gradio as gr
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import numpy as np
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from diffusers import AutoPipelineForText2Image
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import torch
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from huggingface_hub import snapshot_download
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from io import BytesIO
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from PIL import Image
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SPACE_USERNAME = 'KR_4dmin'
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# generator=generator
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).images[0]
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return image
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examples = [
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