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| from diffusers import StableDiffusionXLPipeline, AutoencoderKL | |
| import torch | |
| import random | |
| import os | |
| #from controlnet_aux import OpenposeDetector | |
| #from diffusers.utils import load_image | |
| import gradio as gr | |
| import gc | |
| model_id = int(os.getenv("Model")) | |
| #stable-diffusion-xl-base-1.0 0 - base model | |
| #Colossus_Project_XL 1 - better people | |
| #Sevenof9_v3_sdxl 2 - nude women | |
| #juggernaut-xl 3 - better faces | |
| #RealVisXL_V2.0 4 - realistic people | |
| #AlbedoBaseXL_v11 5 - realistic people | |
| model_url_list = ["stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors", | |
| "Krebzonide/Colossus_Project_XL/blob/main/colossusProjectXLSFW_v202BakedVAE.safetensors", | |
| "Krebzonide/Sevenof9_v3_sdxl/blob/main/nsfwSevenof9V3_nsfwSevenof9V3.safetensors", | |
| "ckpt/juggernaut-xl/blob/main/juggernautXL_version2.safetensors", | |
| "SG161222/RealVisXL_V2.0/blob/main/RealVisXL_V2.0.safetensors", | |
| "Krebzonide/AlbedoBaseXL_v11/blob/main/albedobaseXL_v11 .safetensors"] | |
| css = """ | |
| .btn-green { | |
| background-image: linear-gradient(to bottom right, #6dd178, #00a613) !important; | |
| border-color: #22c55e !important; | |
| color: #166534 !important; | |
| } | |
| .btn-green:hover { | |
| background-image: linear-gradient(to bottom right, #6dd178, #6dd178) !important; | |
| } | |
| """ | |
| def generate(prompt, neg_prompt, samp_steps, guide_scale, batch_size, seed, height, width, progress=gr.Progress(track_tqdm=True)): | |
| if seed < 0: | |
| seed = random.randint(1,999999) | |
| images = pipe( | |
| prompt, | |
| negative_prompt=neg_prompt, | |
| num_inference_steps=samp_steps, | |
| guidance_scale=guide_scale, | |
| #cross_attention_kwargs={"scale": lora_scale}, | |
| num_images_per_prompt=batch_size, | |
| height=height, | |
| width=width, | |
| generator=torch.manual_seed(seed), | |
| ).images | |
| return [(img, f"Image {i+1}") for i, img in enumerate(images)] | |
| def set_base_model(base_model_id): | |
| vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16) | |
| global model_url_list | |
| model_url = "https://huggingface.co/" + model_url_list[base_model_id] | |
| pipe = StableDiffusionXLPipeline.from_single_file( | |
| model_url, | |
| torch_dtype = torch.float16, | |
| variant = "fp16", | |
| vae = vae, | |
| use_safetensors = True, | |
| use_auth_token="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" | |
| ) | |
| pipe.to("cuda") | |
| return pipe | |
| with gr.Blocks(css=css) as demo: | |
| with gr.Column(): | |
| prompt = gr.Textbox(label="Prompt") | |
| negative_prompt = gr.Textbox(label="Negative Prompt") | |
| submit_btn = gr.Button("Generate", elem_classes="btn-green") | |
| with gr.Row(): | |
| samp_steps = gr.Slider(1, 50, value=20, step=1, label="Sampling steps") | |
| guide_scale = gr.Slider(1, 6, value=3, step=0.5, label="Guidance scale") | |
| batch_size = gr.Slider(1, 6, value=1, step=1, label="Batch size") | |
| with gr.Row(): | |
| seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=999999, step=1) | |
| height = gr.Slider(label="Height", value=1024, minimum=512, maximum=2048, step=16) | |
| width = gr.Slider(label="Width", value=1024, minimum=512, maximum=2048, step=16) | |
| gallery = gr.Gallery(label="Generated images", height=800) | |
| submit_btn.click(generate, [prompt, negative_prompt, samp_steps, guide_scale, batch_size, seed, height, width], [gallery], queue=True) | |
| pipe = set_base_model(model_id) | |
| demo.launch(debug=True) |