Update app.py

app.py

@@ -242,13 +242,13 @@ def sample(prompt):
 
 
 title = "Interactive demo: glide-text2im dermoscopic image generator"
-description = "Demo for the Finetuned version of OpenAI's GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. Please be aware that generation of the image will take up to 20 minutes, as CPU is used for the generation. Please cite our research paper with the title -Finetuning of GLIDE stable diffusion model for AI-based text-conditional image synthesis of dermoscopic images- when using the generator for your research."
+description = "Demo for the Finetuned version of OpenAI's GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. Please be aware that generation of the image will take up to 20 minutes, as CPU is used for the generation, and the resolution of generated images was limited for faster processing. For research purposes, we recommend using the finetuned model and weights provided here: https://github.com/Freiburg-AI-Research on your local GPU. Please cite our research paper with the title -Finetuning of GLIDE stable diffusion model for AI-based text-conditional image synthesis of dermoscopic images- when using the generator for your research."
 article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2112.10741'>GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models</a> | <a href='https://github.com/openai/glide-text2im/'>Official Repo</a></p>"
 examples =["melanoma"]
 
 iface = gr.Interface(fn=sample, 
                      inputs=gr.inputs.Textbox(label='Which dermoscopic entity would you like to see? Choose one of the following one: "melanoma", "melanocytic nevi", "Actinic keratoses and intraepithelial carcinoma / Bowen disease, "benign keratosis-like lesions (solar lentigines / seborrheic keratoses and lichen-planus like keratoses", "basal cell carcinoma", "dermatofibroma", "vascular lesions"'), 
-                     outputs=gr.outputs.Image(type="pil", label="Model input + completions").style(height=168, width=168),
+                     outputs=gr.outputs.Image(type="pil", label="Model input + completions").style(height=256, width=256),
                      title=title,
                      description=description,
                      article=article,