Upload 3 files

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 from convert_url_to_diffusers_sd_gr import (
-    convert_url_to_diffusers_repo,
+    convert_url_to_diffusers_repo_sd,
     SCHEDULER_CONFIG_MAP,
 )
 
@@ -65,7 +65,7 @@ It saves you the trouble of typing them in.<br>
 
     gr.on(
         triggers=[run_button.click],
-        fn=convert_url_to_diffusers_repo,
+        fn=convert_url_to_diffusers_repo_sd,
         inputs=[dl_url, repo_id, hf_token, civitai_key, repo_urls, is_half, vae, scheduler,
                  lora1, lora1s, lora2, lora2s, lora3, lora3s, lora4, lora4s, lora5, lora5s,
                  model_type, sample_size, ema],

convert_url_to_diffusers_sd_gr.py

@@ -301,7 +301,7 @@ def create_diffusers_repo(new_repo_id, diffusers_folder, progress=gr.Progress(tr
     return url
 
 
-def convert_url_to_diffusers_repo(dl_url, new_repo_id, hf_token, civitai_key="", repo_urls=[], half=True, vae=None,
+def convert_url_to_diffusers_repo_sd(dl_url, new_repo_id, hf_token, civitai_key="", repo_urls=[], half=True, vae=None,
                                   scheduler="Euler", lora1=None, lora1s=1.0, lora2=None, lora2s=1.0, lora3=None, lora3s=1.0,
                                   lora4=None, lora4s=1.0, lora5=None, lora5s=1.0,
                                   model_type="v1", sample_size=768, ema="ema", progress=gr.Progress(track_tqdm=True)):