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Runtime error
Runtime error
pengdaqian commited on
Commit ·
134c419
1
Parent(s): 2a589fd
fix more
Browse files
app.py
CHANGED
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@@ -1,6 +1,6 @@
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import gradio as gr
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from datasets import load_dataset
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from PIL import Image
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import re
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import os
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@@ -11,23 +11,27 @@ from share_btn import community_icon_html, loading_icon_html, share_js
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word_list_dataset = load_dataset("Gustavosta/Stable-Diffusion-Prompts")
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word_list = word_list_dataset["train"]['Prompt']
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-
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from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
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import torch
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model_id = "stabilityai/stable-diffusion-2-1-base"
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scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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pipe = StableDiffusionPipeline.from_pretrained(
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is_gpu_busy = False
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def infer(prompt, negative, scale):
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global is_gpu_busy
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for filter in word_list:
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if re.search(rf"\b{filter}\b", prompt):
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raise gr.Error("Unsafe content found. Please try again with different prompts.")
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-
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images = []
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generator = torch.manual_seed(68781279)
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payload = {'prompt': prompt, 'negative_prompt': negative, 'guidance_scale': scale}
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@@ -40,10 +44,10 @@ def infer(prompt, negative, scale):
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width=768).images[0]
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images.append(image)
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return images
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css = """
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.gradio-container {
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font-family: 'IBM Plex Sans', sans-serif;
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@@ -198,7 +202,6 @@ examples = [
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],
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]
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with block:
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gr.HTML(
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"""
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@@ -298,19 +301,19 @@ with block:
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).style(grid=[2], height="auto")
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with gr.Group(elem_id="container-advanced-btns"):
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#advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
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with gr.Group(elem_id="share-btn-container"):
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community_icon = gr.HTML(community_icon_html)
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loading_icon = gr.HTML(loading_icon_html)
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share_button = gr.Button("Share to community", elem_id="share-btn")
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with gr.Accordion("Advanced settings", open=False):
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label="Guidance Scale", minimum=0, maximum=50, value=9, step=0.1
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# seed = gr.Slider(
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# label="Seed",
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# minimum=0,
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@@ -319,13 +322,14 @@ with block:
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# randomize=True,
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# )
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ex = gr.Examples(examples=examples, fn=infer, inputs=[text, negative, guidance_scale],
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ex.dataset.headers = [""]
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negative.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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text.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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btn.click(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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#advanced_button.click(
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# None,
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# [],
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# text,
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@@ -334,13 +338,12 @@ with block:
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# const options = document.querySelector("body > gradio-app").querySelector("#advanced-options");
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# options.style.display = ["none", ""].includes(options.style.display) ? "flex" : "none";
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# }""",
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#)
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share_button.click(
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None,
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[],
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[],
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_js=share_js,
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)
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block.queue(concurrency_count=80, max_size=100).launch(max_threads=150)
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import gradio as gr
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from datasets import load_dataset
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from PIL import Image
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import re
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import os
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word_list_dataset = load_dataset("Gustavosta/Stable-Diffusion-Prompts")
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word_list = word_list_dataset["train"]['Prompt']
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from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler
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import torch
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model_id = "stabilityai/stable-diffusion-2-1-base"
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scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler")
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pipe = StableDiffusionPipeline.from_pretrained(
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model_id,
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scheduler=scheduler,
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safety_checker=None,
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torch_dtype=torch.float16)
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is_gpu_busy = False
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def infer(prompt, negative, scale):
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global is_gpu_busy
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for filter in word_list:
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if re.search(rf"\b{filter}\b", prompt):
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raise gr.Error("Unsafe content found. Please try again with different prompts.")
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images = []
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generator = torch.manual_seed(68781279)
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payload = {'prompt': prompt, 'negative_prompt': negative, 'guidance_scale': scale}
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width=768).images[0]
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images.append(image)
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return images
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css = """
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.gradio-container {
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font-family: 'IBM Plex Sans', sans-serif;
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],
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]
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with block:
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gr.HTML(
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"""
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).style(grid=[2], height="auto")
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with gr.Group(elem_id="container-advanced-btns"):
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# advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
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with gr.Group(elem_id="share-btn-container"):
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community_icon = gr.HTML(community_icon_html)
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loading_icon = gr.HTML(loading_icon_html)
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share_button = gr.Button("Share to community", elem_id="share-btn")
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with gr.Accordion("Advanced settings", open=False):
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# gr.Markdown("Advanced settings are temporarily unavailable")
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# samples = gr.Slider(label="Images", minimum=1, maximum=4, value=4, step=1)
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# steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=45, step=1)
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guidance_scale = gr.Slider(
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label="Guidance Scale", minimum=0, maximum=50, value=9, step=0.1
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)
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# seed = gr.Slider(
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# label="Seed",
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# minimum=0,
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# randomize=True,
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# )
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ex = gr.Examples(examples=examples, fn=infer, inputs=[text, negative, guidance_scale],
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outputs=[gallery, community_icon, loading_icon, share_button], cache_examples=False)
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ex.dataset.headers = [""]
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negative.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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text.submit(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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btn.click(infer, inputs=[text, negative, guidance_scale], outputs=[gallery], postprocess=False)
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# advanced_button.click(
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# None,
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# [],
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# text,
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# const options = document.querySelector("body > gradio-app").querySelector("#advanced-options");
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# options.style.display = ["none", ""].includes(options.style.display) ? "flex" : "none";
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# }""",
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# )
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share_button.click(
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None,
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[],
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[],
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_js=share_js,
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)
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block.queue(concurrency_count=80, max_size=100).launch(max_threads=150)
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