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Update app.py
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app.py
CHANGED
@@ -14,20 +14,18 @@ pipe = accelerator.prepare(AmusedPipeline.from_pretrained("amused/amused-512", v
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pipe.vqvae.to(torch.float32)
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pipe.to("cpu")
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apol=[]
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def plex(prompt,
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gc.collect()
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apol=[]
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prompt = prompt
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negative_prompt = neg_prompt
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nm = random.randint(1, 4836928)
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while nm % 32 != 0:
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nm = random.randint(1, 4836928)
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generator = torch.Generator(device="cpu").manual_seed(nm)
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image = pipe(
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for a, imze in enumerate(image["images"]):
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apol.append(imze)
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return apol
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iface = gr.Interface(fn=plex, inputs=[gr.Textbox(label="prompt",),gr.
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iface.queue(max_size=1,api_open=False)
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iface.launch(max_threads=1)
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pipe.vqvae.to(torch.float32)
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pipe.to("cpu")
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apol=[]
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def plex(prompt, guod, fifth, twice):
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gc.collect()
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apol=[]
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nm = random.randint(1, 4836928)
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while nm % 32 != 0:
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nm = random.randint(1, 4836928)
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generator = torch.Generator(device="cpu").manual_seed(nm)
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image = pipe(prompt=prompt,guidance_scale=guod,num_inference_steps=twice,num_images_per_prompt=fifth,generator=generator)
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for a, imze in enumerate(image["images"]):
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apol.append(imze)
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return apol
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iface = gr.Interface(fn=plex, inputs=[gr.Textbox(label="prompt",),gr.Slider(label="guidance scale",minimum=1,step=1,maximum=10,value=4),gr.Slider(label="num images", minimum=1, step=1, maximum=4, value=1), gr.Slider(label="num inference steps", minimum=1, step=1, maximum=20, value=12)], outputs=gr.Gallery(label="out", columns=2),description="Running on cpu, very slow! by JoPmt.")
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iface.queue(max_size=1,api_open=False)
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iface.launch(max_threads=1)
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