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.gitignore

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+.venv/
+.env

app.py

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+import os
+import io
+from PIL import Image
+from dotenv import load_dotenv, find_dotenv
+_ = load_dotenv(find_dotenv()) # read local .env file
+hf_api_key = os.environ['HF_API_KEY']
+
+# Helper function
+import requests, json
+
+# API_URL = "https://api-inference.huggingface.co/models/sayakpaul/text-to-image-pokemons-gpt4"
+# API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
+# API_URL = "https://api-inference.huggingface.co/models/cloudqi/cqi_text_to_image_pt_v0"
+# API_URL = "https://api-inference.huggingface.co/models/playgroundai/playground-v2-1024px-aesthetic"
+# API_URL = "https://api-inference.huggingface.co/models/SimianLuo/LCM_Dreamshaper_v7"
+# API_URL = "https://api-inference.huggingface.co/models/tensor-diffusion/majicMIX-realistic-v7"
+API_URL = "https://api-inference.huggingface.co/models/digiplay/majicMIX_realistic_v1"
+
+
+
+#Text-to-image endpoint
+def get_completion(inputs, parameters=None, ENDPOINT_URL=API_URL):
+    headers = {
+      "Authorization": f"Bearer {hf_api_key}",
+      "Content-Type": "application/json"
+    }   
+    data = { "inputs": inputs }
+    if parameters is not None:
+        data.update({"parameters": parameters})
+    response = requests.request("POST",ENDPOINT_URL,headers=headers,data=json.dumps(data))
+    return response.content
+
+import gradio as gr 
+
+def generate(prompt):
+    output = get_completion(prompt)
+    result_image = Image.open(io.BytesIO(output))
+    return result_image
+
+import gradio as gr 
+
+def generate(prompt, negative_prompt, steps, guidance, width, height):
+    params = {
+        "negative_prompt": negative_prompt,
+        "num_inference_steps": steps,
+        "guidance_scale": guidance,
+        "width": width,
+        "height": height
+    }
+    
+    output = get_completion(prompt, params)
+    pil_image = Image.open(io.BytesIO(output))
+    return pil_image
+
+def loadGUI():
+    with gr.Blocks() as demo:
+        gr.Markdown("# Image Generation with Stable Diffusion - Magic Mix V1")
+        with gr.Row():
+            with gr.Column(scale=4):
+                prompt = gr.Textbox(label="Your prompt") #Give prompt some real estate
+            with gr.Column(scale=1, min_width=50):
+                btn = gr.Button("Submit") #Submit button side by side!
+        with gr.Accordion("Advanced options", open=False): #Let's hide the advanced options!
+                negative_prompt = gr.Textbox(label="Negative prompt")
+                with gr.Row():
+                    with gr.Column():
+                        steps = gr.Slider(label="Inference Steps", minimum=1, maximum=100, step=32, value=25,
+                        info="In many steps will the denoiser denoise the image?")
+                        guidance = gr.Slider(label="Guidance Scale", minimum=1, maximum=20, step=32, value=7,
+                        info="Controls how much the text prompt influences the result")
+                    with gr.Column():
+                        width = gr.Slider(label="Width", minimum=64, maximum=1024, step=32, value=512)
+                        height = gr.Slider(label="Height", minimum=64, maximum=1024, step=32, value=512)
+        output = gr.Image(label="Result") #Move the output up too
+                
+        btn.click(fn=generate, inputs=[prompt,negative_prompt,steps,guidance,width,height], outputs=[output])
+
+        gr.close_all()
+        demo.launch(share=True)
+
+def main():
+     loadGUI()
+     
+     
+if __name__ == "__main__":
+     main()
+          

requirements.txt

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+accelerate==0.25.0
+aiofiles==23.2.1
+altair==5.2.0
+annotated-types==0.6.0
+anyio==3.7.1
+attrs==23.1.0
+certifi==2023.11.17
+charset-normalizer==3.3.2
+click==8.1.7
+colorama==0.4.6
+contourpy==1.2.0
+cycler==0.12.1
+fastapi==0.104.1
+ffmpy==0.3.1
+filelock==3.13.1
+fonttools==4.46.0
+fsspec==2023.12.1
+gradio==4.8.0
+gradio_client==0.7.1
+h11==0.14.0
+httpcore==1.0.2
+httpx==0.25.2
+huggingface-hub==0.19.4
+idna==3.6
+importlib-resources==6.1.1
+Jinja2==3.1.2
+jsonschema==4.20.0
+jsonschema-specifications==2023.11.2
+kiwisolver==1.4.5
+markdown-it-py==3.0.0
+MarkupSafe==2.1.3
+matplotlib==3.8.2
+mdurl==0.1.2
+mpmath==1.3.0
+networkx==3.2.1
+numpy==1.26.2
+orjson==3.9.10
+packaging==23.2
+pandas==2.1.4
+Pillow==10.1.0
+psutil==5.9.6
+pydantic==2.5.2
+pydantic_core==2.14.5
+pydub==0.25.1
+Pygments==2.17.2
+pyparsing==3.1.1
+python-dateutil==2.8.2
+python-dotenv==1.0.0
+python-multipart==0.0.6
+pytz==2023.3.post1
+PyYAML==6.0.1
+referencing==0.32.0
+regex==2023.10.3
+requests==2.31.0
+rich==13.7.0
+rpds-py==0.13.2
+safetensors==0.4.1
+semantic-version==2.10.0
+shellingham==1.5.4
+six==1.16.0
+sniffio==1.3.0
+starlette==0.27.0
+sympy==1.12
+tokenizers==0.15.0
+tomlkit==0.12.0
+toolz==0.12.0
+torch==2.1.1
+tqdm==4.66.1
+transformers==4.35.2
+typer==0.9.0
+typing_extensions==4.8.0
+tzdata==2023.3
+urllib3==2.1.0
+uvicorn==0.24.0.post1
+websockets==11.0.3