Duplicate from tbdatasci/PicassoBot

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README.md

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+---
+title: PicassoBot
+emoji: 🚀
+colorFrom: purple
+colorTo: red
+sdk: gradio
+sdk_version: 3.39.0
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: tbdatasci/PicassoBot
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# import gradio as gr
+# from diffusers import DiffusionPipeline
+
+# # get_completion = pipeline("image-to-text",model="nlpconnect/vit-gpt2-image-captioning")
+
+# # pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0")
+# pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
+
+# # def summarize(input):
+# #     output = get_completion(input)
+# #     return output[0]['generated_text']
+
+# # def captioner(image):
+# #     result = get_completion(image)
+# #     return result[0]['generated_text']
+
+# def generate(prompt):
+#     return pipeline(prompt).images[0]    
+
+# gr.close_all()
+# demo = gr.Interface(fn=generate,
+#                     inputs=[gr.Textbox(label="Your prompt")],
+#                     outputs=[gr.Image(label="Result")],
+#                     title="Image Generation with Stable Diffusion",
+#                     description="Generate any image with Stable Diffusion",
+#                     allow_flagging="never",
+#                     examples=["the spirit of a tamagotchi wandering in the city of Vienna","a mecha robot in a favela"])
+
+# demo.launch()
+
+
+import gradio as gr
+
+gr.close_all()
+demo = gr.load(name="models/runwayml/stable-diffusion-v1-5",
+               title='PicassoBot',
+               description='Because paint splatters are so last century')
+
+demo.launch()

requirements.txt

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+gradio