import gradio as gr import torch from diffusers import StableDiffusionXLPipeline, AutoencoderKL from huggingface_hub import hf_hub_download import lora from time import sleep import copy sdxl_loras = [ ("pixel-art-xl.jpeg", "Pixel Art XL", "nerijs/pixel-art-xl", "pixel art", "pixel-art-xl.safetensors", True), ("papercut_SDXL.jpeg", "Papercut SDXL", "TheLastBen/Papercut_SDXL", "papercut", "papercut.safetensors", False), ("lego-minifig-xl.jpeg", "Lego Minifig XL", "nerijs/lego-minifig-xl", "lego minifig", "legominifig-v1.0-000003.safetensors", True), ("3d_style_4.jpeg", "3D Render Style", "goofyai/3d_render_style_xl", "3d style", "3d_render_style_xl.safetensors", True), ("LogoRedmond-LogoLoraForSDXL.jpeg","Logo.Redmond", "artificialguybr/LogoRedmond-LogoLoraForSDXL", "LogoRedAF", "LogoRedmond_LogoRedAF.safetensors", False), ("LineAni.Redmond.png", "LinearManga.Redmond", "artificialguybr/LineAniRedmond-LinearMangaSDXL", "LineAniAF", "LineAniRedmond-LineAniAF.safetensors", True), ("embroid.png","Embroidery Style","ostris/embroidery_style_lora_sdxl","","embroidered_style_v1_sdxl.safetensors",False), ("watercolor.png","Watercolor Style","ostris/watercolor_style_lora_sdxl","","watercolor_v1_sdxl.safetensors",False), ("crayon.png","Crayon Style","ostris/crayon_style_lora_sdxl","","crayons_v1_sdxl.safetensors",False), ("dog.png", "Cyborg Style", "goofyai/cyborg_style_xl", "cyborg style", "cyborg_style_xl-off.safetensors", True), ("ToyRedmond-ToyLoraForSDXL10.png","Toy.Redmond", "artificialguybr/ToyRedmond-ToyLoraForSDXL10", "FnkRedmAF", "ToyRedmond-FnkRedmAF.safetensors", True), ("voxel-xl-lora.png", "Voxel XL", "Fictiverse/Voxel_XL_Lora", "voxel style", "VoxelXL_v1.safetensors", True), ("pikachu.webp", "Pikachu XL", "TheLastBen/Pikachu_SDXL", "pikachu", "pikachu.safetensors", False), ("william_eggleston.webp", "William Eggleston Style", "TheLastBen/William_Eggleston_Style_SDXL", "by william eggleston", "wegg.safetensors", False), ("josef_koudelka.webp", "Josef Koudelka Style", "TheLastBen/Josef_Koudelka_Style_SDXL", "by josef koudelka", "koud.safetensors", False), ("corgi_brick.jpeg", "Lego BrickHeadz", "nerijs/lego-brickheadz-xl", "lego brickheadz", "legobrickheadz-v1.0-000004.safetensors", True) ] saved_names = [hf_hub_download(repo_id, filename) for _, _, repo_id, _, filename, _ in sdxl_loras] def update_selection(selected_state: gr.SelectData): lora_repo = sdxl_loras[selected_state.index][2] instance_prompt = sdxl_loras[selected_state.index][3] updated_text = f"### Selected: [{lora_repo}](https://huggingface.co/{lora_repo})" return updated_text, instance_prompt, selected_state vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16) mutable_pipe = StableDiffusionXLPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", vae=vae, torch_dtype=torch.float16, ).to("cpu") original_pipe = copy.deepcopy(mutable_pipe) last_lora = "" last_merged = False def run_lora(prompt, negative, weight, selected_state): global last_lora, last_merged pipe = mutable_pipe if(not selected_state): raise gr.Error("You must select a LoRA") repo_name = sdxl_loras[selected_state.index][2] weight_name = sdxl_loras[selected_state.index][4] full_path_lora = saved_names[selected_state.index] cross_attention_kwargs = None if(last_lora != repo_name): if(last_merged): pipe = copy.deepcopy(original_pipe) else: pipe.unload_lora_weights() is_compatible = sdxl_loras[selected_state.index][5] if(is_compatible): pipe.load_lora_weights(full_path_lora) cross_attention_kwargs={"scale": weight} else: for weights_file in [full_path_lora]: if ";" in weights_file: weights_file, multiplier = weights_file.split(";") multiplier = float(weight) else: multiplier = 1.0 lora_model, weights_sd = lora.create_network_from_weights( multiplier, full_path_lora, pipe.vae, pipe.text_encoder, pipe.unet, for_inference=True ) lora_model.merge_to(pipe.text_encoder, pipe.unet, weights_sd, torch.float16, "cuda") last_merged = True pipe.to("cuda") image = pipe( prompt=prompt, negative_prompt=negative, num_inference_steps=20, guidance_scale=7.5, cross_attention_kwargs=cross_attention_kwargs).images[0] last_lora = repo_name return image css = ''' #prompt textarea{width: calc(100% - 160px);border-top-right-radius: 0px;border-bottom-right-radius: 0px;} #run_button{position:absolute;margin-top: 38px;right: 0;margin-right: 0.8em;border-bottom-left-radius: 0px; border-top-left-radius: 0px;} #gallery{display:flex} #gallery .grid-wrap{min-height: 100%;} ''' with gr.Blocks(css=css) as demo: title = gr.Markdown("# Lora The Explorer XL") with gr.Row(): gallery = gr.Gallery(value=[(a, b) for a, b, _, _, _, _ in sdxl_loras], label="LoRA Gallery", allow_preview=False, columns=3, elem_id="gallery" ) with gr.Column(): prompt_title = gr.Markdown(value="### Click on a LoRA in the gallery to select it", visible=True) with gr.Row(): prompt = gr.Textbox(label="Prompt", elem_id="prompt") button = gr.Button("Run", elem_id="run_button") result = gr.Image(interactive=False, label="result") with gr.Accordion("Advanced options", open=False): negative = gr.Textbox(label="Negative Prompt") weight = gr.Slider(0, 1, value=1, step=0.1, label="LoRA weight") with gr.Column(): gr.Markdown("Use it with:") with gr.Row(): with gr.Accordion("🧨 diffusers", open=False): gr.Markdown("") with gr.Accordion("ComfyUI", open=False): gr.Markdown("") with gr.Accordion("Invoke AI", open=False): gr.Markdown("") with gr.Accordion("SD.Next (AUTO1111 fork)", open=False): gr.Markdown("") selected_state = gr.State() gallery.select(update_selection, outputs=[prompt_title, prompt, selected_state], queue=False, show_progress=False) button.click(fn=run_lora, inputs=[prompt, negative, weight, selected_state], outputs=result) demo.launch()