mirror of
https://github.com/gradio-app/gradio.git
synced 2024-11-27 01:40:20 +08:00
9b42ba8f10
* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
import gradio as gr
|
|
import torch
|
|
from diffusers import StableDiffusionPipeline # type: ignore
|
|
from PIL import Image
|
|
import os
|
|
|
|
auth_token = os.getenv("auth_token")
|
|
model_id = "CompVis/stable-diffusion-v1-4"
|
|
device = "cpu"
|
|
pipe = StableDiffusionPipeline.from_pretrained(
|
|
model_id, use_auth_token=auth_token, revision="fp16", torch_dtype=torch.float16
|
|
)
|
|
pipe = pipe.to(device)
|
|
|
|
def infer(prompt, samples, steps, scale, seed):
|
|
generator = torch.Generator(device=device).manual_seed(seed)
|
|
images_list = pipe( # type: ignore
|
|
[prompt] * samples,
|
|
num_inference_steps=steps,
|
|
guidance_scale=scale,
|
|
generator=generator,
|
|
)
|
|
images = []
|
|
safe_image = Image.open(r"unsafe.png")
|
|
for i, image in enumerate(images_list["sample"]): # type: ignore
|
|
if images_list["nsfw_content_detected"][i]: # type: ignore
|
|
images.append(safe_image)
|
|
else:
|
|
images.append(image)
|
|
return images
|
|
|
|
block = gr.Blocks()
|
|
|
|
with block:
|
|
with gr.Group():
|
|
with gr.Row():
|
|
text = gr.Textbox(
|
|
label="Enter your prompt",
|
|
max_lines=1,
|
|
placeholder="Enter your prompt",
|
|
container=False,
|
|
)
|
|
btn = gr.Button("Generate image")
|
|
gallery = gr.Gallery(
|
|
label="Generated images",
|
|
show_label=False,
|
|
elem_id="gallery",
|
|
columns=[2],
|
|
)
|
|
|
|
advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")
|
|
|
|
with gr.Row(elem_id="advanced-options"):
|
|
samples = gr.Slider(label="Images", minimum=1, maximum=4, value=4, step=1)
|
|
steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=45, step=1)
|
|
scale = gr.Slider(
|
|
label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1
|
|
)
|
|
seed = gr.Slider(
|
|
label="Seed",
|
|
minimum=0,
|
|
maximum=2147483647,
|
|
step=1,
|
|
randomize=True,
|
|
)
|
|
gr.on([text.submit, btn.click], infer, inputs=[text, samples, steps, scale, seed], outputs=gallery)
|
|
advanced_button.click(
|
|
None,
|
|
[],
|
|
text,
|
|
)
|
|
|
|
block.launch()
|