based_v1

app.py

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+from diffusers import StableDiffusionPipeline
+import gradio as gr
+import torch
+
+from huggingface_hub import login
+
+# 3. Login to Hugging Face (replace YOUR_HF_TOKEN with your actual token)
+login(token="YOUR_HF_TOKEN")
+
+# 4. Load private model using your token
+model_id = "Lookingsoft-team/Text_to_Image_Diffusion"
+
+pipe = StableDiffusionPipeline.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16  # smaller memory
+).to("cuda")
+
+def generate_image(prompt):
+    image = pipe(prompt).images[0]
+    return image
+
+iface = gr.Interface(
+    fn=generate_image,
+    inputs=gr.Textbox(label="Enter prompt"),
+    outputs=gr.Image(type="pil"),
+    title="Private Stable Diffusion Demo"
+)
+
+iface.launch(share=True)

requirements.txt

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+diffusers
+transformers
+torch
+gradio
+scipy
+accelerate
+safetensors