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app.py

@@ -4,7 +4,7 @@ import torch
 from PIL import Image
 
 model_id = 'Duskfallcrew/Animated_Dreams'
-prefix = 'meitu'
+prefix = ''
      
 scheduler = DPMSolverMultistepScheduler.from_pretrained(model_id, subfolder="scheduler")
 
@@ -79,11 +79,7 @@ with gr.Blocks(css=css) as demo:
                 <h1>Animated Dreams</h1>
               </div>
               <p>
-               Demo for <a href="https://huggingface.co/Duskfallcrew/Animated_Dreams">Animated Dreams</a> Stable Diffusion model. </br> All samples and info are here:
-https://civitai.com/user/duskfallcrew
- </br>
-If you want to donate towards costs and don't want to subscribe:
-https://ko-fi.com/DUSKFALLcrew<br>
+               Demo for <a href="https://huggingface.co/Duskfallcrew/Animated_Dreams">Animated Dreams</a> Stable Diffusion model. Running on Free CPU, if there's a queue make sure you duplicate the space to your own and if you got the funds upgrade to GPU.  No prefix tokens. If you like what you see consider donating here: <a href="https://ko-fi.com/DUSKFALLcrew">Ko-Fi Duskfallcrew </a><br>
                {"Add the following tokens to your prompts for the model to work properly: <b>prefix</b>" if prefix else ""}
               </p>
               Running on {"<b>GPU 🔥</b>" if torch.cuda.is_available() else f"<b>CPU 🥶</b>. For faster inference it is recommended to <b>upgrade to GPU in <a href='https://huggingface.co/spaces/Duskfallcrew/Animated_Dreams/settings'>Settings</a></b>"} after duplicating the space<br><br>
@@ -106,7 +102,7 @@ https://ko-fi.com/DUSKFALLcrew<br>
           with gr.Tab("Options"):
             with gr.Group():
               neg_prompt = gr.Textbox(label="Negative prompt", placeholder="What to exclude from the image")
-              auto_prefix = gr.Checkbox(label="Prefix styling tokens automatically (meitu)", value=prefix, visible=prefix)
+              auto_prefix = gr.Checkbox(label="Prefix styling tokens automatically ()", value=prefix, visible=prefix)
 
               with gr.Row():
                 guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)