Create app.py

app.py

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+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):
+    sleep(60)
+    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)
+mutable_pipe.to("cuda")
+
+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)
+            pipe.to("cuda")
+        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
+    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()