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app.py
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import gradio as gr
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import torch
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from transformers import pipeline
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from diffusers import StableDiffusionXLPipeline
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import spaces
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default_model = "lucianosb/acaraje-brazil-xl"
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default_prompt = "delicious acarajé"
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@spaces.GPU
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pipeline = StableDiffusionXLPipeline.from_single_file(
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"https://huggingface.co/lucianosb/sinteticoXL-models/blob/main/sinteticoXL_v1dot2.safetensors",
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torch_dtype=torch.float16,
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variant="fp16",
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use_safetensors=True,
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).to("cuda")
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def make_description(model):
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pipeline.unload_lora_weights()
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model_keywords = {
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"lucianosb/acaraje-brazil-xl": ["acarajé", "acaraje"],
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"lucianosb/boto-brazil-xl": ["boto"],
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"lucianosb/cathedral-of-brasilia-brazil-xl": ["cathedral of brasilia", "cathedral", "house/building"],
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"lucianosb/jkbridge-brazil-xl": ["jkbridge"],
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"lucianosb/mamulengo-brazil-xl": ["mamulengo puppet"],
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"lucianosb/marajoara-brazil-xl": ["marajoara patterns", "marajo patterns", "marajo"],
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"lucianosb/masp-brazil-xl": ["masp", "sampa", "sao_paulo", "masp building"],
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"lucianosb/ofobridge-brazil-xl": ["ofobridge", "bridge", "ponte_estaiada_sp", "ponte"],
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"lucianosb/tacaca-brazil-xl": ["tacacá"],
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"lucianosb/timbalada-brazil-xl": ["timbalada body painting", "body painting"],
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"lucianosb/veropeso-brazil-xl": ["veropeso", "veropa"]
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}
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keywords = model_keywords.get(model, ["unknown model"])
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return "Triggered with the following keywords: \n\n" + "- " + "\n- ".join(keywords)
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def make_prompt(model):
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prompts = {
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"lucianosb/acaraje-brazil-xl": "delicious acarajé",
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"lucianosb/boto-brazil-xl": "beautiful boto in a river",
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"lucianosb/cathedral-of-brasilia-brazil-xl": "stunning cathedral of brasilia",
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"lucianosb/jkbridge-brazil-xl": "charming jkbridge",
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"lucianosb/mamulengo-brazil-xl": "enchanting mamulengo puppet in the clouds",
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"lucianosb/marajoara-brazil-xl": "a vase in marajoara patterns",
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"lucianosb/masp-brazil-xl": "elegant masp building, by sunrise in sao_paulo",
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"lucianosb/ofobridge-brazil-xl": "fascinating ofobridge",
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"lucianosb/tacaca-brazil-xl": "delicious tacaca, 4k masterpiece",
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"lucianosb/timbalada-brazil-xl": "beautiful timbalada body painting",
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"lucianosb/veropeso-brazil-xl": "dreamy veropeso landscape"
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}
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prompt = prompts.get(model, "")
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return prompt
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@spaces.GPU
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def make_image(model, prompt):
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weight_file_names = {
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"lucianosb/acaraje-brazil-xl": "Acarajé_-_Brazil_XL.safetensors",
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"lucianosb/boto-brazil-xl": "Boto_-_Brazil_XL.safetensors",
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"lucianosb/cathedral-of-brasilia-brazil-xl": "Cathedral_of_Brasilia_-_Brazil_XL.safetensors",
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"lucianosb/jkbridge-brazil-xl": "JK_Bridge_-_Brazil_XL.safetensors",
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"lucianosb/mamulengo-brazil-xl": "Mamulengo_-_Brazil_XL.safetensors",
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"lucianosb/marajoara-brazil-xl": "Marajoara-_Brazil_XL.safetensors",
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"lucianosb/masp-brazil-xl": "MASP_-_Brazil_XL.safetensors",
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"lucianosb/ofobridge-brazil-xl": "OFO_Bridge_-_Brazil_XL.safetensors",
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"lucianosb/tacaca-brazil-xl": "Tacacá_-_Brazil_XL.safetensors",
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"lucianosb/timbalada-brazil-xl": "Timbalada_-_Brazil_XL.safetensors",
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"lucianosb/veropeso-brazil-xl": "VeroPeso_-_Brazil_XL.safetensors"
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}
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weight_file_name = weight_file_names.get(model, None)
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if weight_file_name is None:
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raise ValueError(f"Invalid model: {model}")
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pipeline.load_lora_weights(model, weight_name=weight_file_name)
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prompt = prompt
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image = pipeline(prompt, guidance_scale=6.0, num_inference_steps=20).images[0]
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return image
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with gr.Blocks(title="Brazil XL") as demo:
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gr.Markdown("# Brazil XL Demo")
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gr.Markdown('''
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Brazil XL is an iniative that brings better representations of Brazilian culture to Stable Diffusion. This demo uses Stable Diffusion models from the [SinteticoXL](https://huggingface.co/lucianosb/sinteticoXL-models) family.
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## How to use
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1. Choose a model
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2. Describe your input
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3. Click "Generate!"
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4. See the result
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''')
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with gr.Row():
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with gr.Column():
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model_dropdown = gr.Dropdown(
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label="Choose a model",
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choices=[
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"lucianosb/acaraje-brazil-xl",
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"lucianosb/boto-brazil-xl",
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"lucianosb/cathedral-of-brasilia-brazil-xl",
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"lucianosb/jkbridge-brazil-xl",
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"lucianosb/mamulengo-brazil-xl",
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"lucianosb/marajoara-brazil-xl",
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"lucianosb/masp-brazil-xl",
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"lucianosb/ofobridge-brazil-xl",
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"lucianosb/tacaca-brazil-xl",
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"lucianosb/timbalada-brazil-xl",
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"lucianosb/veropeso-brazil-xl"
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],
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value=default_model
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)
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description = gr.Markdown("Describe your input for " + default_model)
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prompt = gr.Textbox(
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label="Prompt",
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info="use the proper keyword",
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lines=3,
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value=default_prompt,
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)
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btn = gr.Button("Generate!")
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with gr.Column():
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output = gr.Image()
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model_dropdown.change(fn=make_description, inputs=model_dropdown, outputs=description)
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model_dropdown.change(fn=make_prompt, inputs=model_dropdown, outputs=prompt)
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btn.click(fn=make_image, inputs=[model_dropdown, prompt], outputs=output)
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demo.launch()
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