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