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README.md

@@ -1,12 +1,6 @@
 ---
-title: Remote Diffusion
-emoji: 📚
-colorFrom: pink
-colorTo: yellow
+title: Remote_Diffusion
+app_file: app.py
 sdk: gradio
 sdk_version: 4.11.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+
+from diffusers import StableDiffusionPipeline
+
+import torch
+
+from PIL import Image
+
+
+
+# Load the model
+
+model_path = "gremlin97/RemoteDiff224"
+
+pipe = StableDiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
+
+pipe.to("cuda")
+
+
+
+# Fixed negative prompt
+
+fixed_negative_prompt = "weird colors, low quality, jpeg artifacts, lowres, grainy, deformed structures, blurry, opaque, low contrast, distorted details, details are low"
+
+
+
+# Function to generate images based on input text
+
+def generate_image(prompt):
+
+    image = pipe(prompt=prompt, negative_prompt=fixed_negative_prompt, num_inference_steps=100, guidance_scale=7.5).images[0]
+
+    return image
+
+
+
+# Create a Gradio interface with a submit button
+
+iface = gr.Interface(
+
+    fn=generate_image,
+
+    inputs="text",
+
+    outputs=gr.Image(),  # Initial placeholder for the image,
+
+    title="RemoteDiff224 Image Generator",
+
+    description="Generate images based on input prompts with a fixed negative prompt.",
+
+)
+
+
+
+# Launch the Gradio interface
+
+iface.launch(share=True)
+
+

requirements.txt

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+gradio
+diffusers
+accelerate