Update app.py

app.py

@@ -6,22 +6,16 @@ import random
 import gradio as gr
 import gc
 
-model_list = ["stabilityai/stable-diffusion-xl-base-1.0",
-             "Colossus_Project_XL",
-             "Sevenof9_v3_sdxl"]
-#add "https://huggingface.co/" before the url
+model_id = os.getenv("Model")
+
+#stabilityai/stable-diffusion-xl-base-1.0  0 - base model
+#Colossus_Project_XL                       1 - better people
+#Sevenof9_v3_sdxl                          2 - nude women
+
 model_url_list = ["stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors",
                  "Krebzonide/Colossus_Project_XL/blob/main/colossusProjectXLSFW_v202BakedVAE.safetensors",
                  "Krebzonide/Sevenof9_v3_sdxl/blob/main/nsfwSevenof9V3_nsfwSevenof9V3.safetensors"]
 
-vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
-pipe = None
-
-#pipe = StableDiffusionXLPipeline.from_pretrained(
-#    model_base, vae=vae, torch_dtype=torch.float16, variant="fp16", use_safetensors=True
-#)
-
-
 css = """
 .btn-green {
   background-image: linear-gradient(to bottom right, #6dd178, #00a613) !important;
@@ -49,12 +43,10 @@ def generate(prompt, neg_prompt, samp_steps, guide_scale, batch_size, seed, heig
     ).images
     return [(img, f"Image {i+1}") for i, img in enumerate(images)]
         
-def set_base_model(base_model_id, progress=gr.Progress(track_tqdm=True)):
-    global pipe
-    global model_list
+def set_base_model(base_model_id):
+    vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
     global model_url_list
-    new_model = model_list.index(base_model_id)
-    model_url = "https://huggingface.co/" + model_url_list[new_model]
+    model_url = "https://huggingface.co/" + model_url_list[base_model_id]
     pipe = StableDiffusionXLPipeline.from_single_file(
         model_url,
         torch_dtype = torch.float16,
@@ -64,11 +56,8 @@ def set_base_model(base_model_id, progress=gr.Progress(track_tqdm=True)):
         use_auth_token="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"
     )
     pipe.to("cuda")
-    intro.close()
-    demo.launch(debug=True)
     return pipe
     
-
 with gr.Blocks(css=css) as demo:
     with gr.Column():
         prompt = gr.Textbox(label="Prompt")
@@ -85,11 +74,5 @@ with gr.Blocks(css=css) as demo:
         gallery = gr.Gallery(label="Generated images", height=800)
     submit_btn.click(generate, [prompt, negative_prompt, samp_steps, guide_scale, batch_size, seed, height, width], [gallery], queue=True)
 
-with gr.Blocks(css=css) as intro:
-    with gr.Column():
-        with gr.Row():
-            model_id = gr.Dropdown(model_list, label="model", value="stabilityai/stable-diffusion-xl-base-1.0")
-            change_model_btn = gr.Button("Update Model", elem_classes="btn-green")
-    change_model_btn.click(set_base_model, [model_id])
-
-intro.launch(debug=True)
+pipe = set_base_model(model_id)
+demo.launch(debug=True)