import torch
from diffusers import StableDiffusionPipeline
import gradio as gr

model_base = "runwayml/stable-diffusion-v1-5"
lora_model_path = "Krebzonide/3a0s-w68r-4qw1-0"

pipe = StableDiffusionPipeline.from_pretrained(model_base, torch_dtype=torch.float16, use_safetensors=True)
pipe.unet.load_attn_procs(lora_model_path)
pipe.to("cuda")

css = """
.btn-green {
  background-image: linear-gradient(to bottom right, #86efac, #22c55e) !important;
  border-color: #22c55e !important;
  color: #166534 !important;
}
.btn-green:hover {
  background-image: linear-gradient(to bottom right, #86efac, #86efac) !important;
}
.btn-red {
  background: linear-gradient(to bottom right, #fda4af, #fb7185) !important;
  border-color: #fb7185 !important;
  color: #9f1239 !important;
}
.btn-red:hover {background: linear-gradient(to bottom right, #fda4af, #fda4af) !important;}
/*****/
.dark .btn-green {
  background-image: linear-gradient(to bottom right, #047857, #065f46) !important;
  border-color: #047857 !important;
  color: #ffffff !important;
}
.dark .btn-green:hover {
  background-image: linear-gradient(to bottom right, #047857, #047857) !important;
}
.dark .btn-red {
  background: linear-gradient(to bottom right, #be123c, #9f1239) !important;
  border-color: #be123c !important;
  color: #ffffff !important;
}
.dark .btn-red:hover {background: linear-gradient(to bottom right, #be123c, #be123c) !important;}
"""

def generate(prompt):
    images = pipe(prompt,num_inference_steps=25,guidance_scale=7.5).images
    return [(img, f"Image {i+1}") for i, img in enumerate(images)]
        

with gr.Blocks(css=css) as demo:
    with gr.Column():
        prompt = gr.Textbox(label="Prompt")
        submit_btn = gr.Button("Generate", variant="primary", min_width="96px")
        gallery = gr.Gallery(label="Generated images")

submit_btn.click(generate, [prompt], [gallery], queue=True)