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b6a8c7c
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Parent(s):
39eaa3c
Update app.py
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app.py
CHANGED
@@ -10,6 +10,7 @@ import copy
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import json
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import gc
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import random
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with open("sdxl_loras.json", "r") as file:
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data = json.load(file)
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sdxl_loras_raw = [
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@@ -24,7 +25,8 @@ with open("sdxl_loras.json", "r") as file:
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"text_embedding_weights": item.get("text_embedding_weights", None),
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"likes": item.get("likes", 0),
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"downloads": item.get("downloads", 0),
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"is_nc": item.get("is_nc", False)
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}
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for item in data
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]
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@@ -46,6 +48,11 @@ for item in sdxl_loras_raw:
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"state_dict": state_dict
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}
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vae = AutoencoderKL.from_pretrained(
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"madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16
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)
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@@ -60,7 +67,14 @@ pipe.to(device)
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last_lora = ""
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last_merged = False
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last_fused = False
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-
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lora_repo = sdxl_loras[selected_state.index]["repo"]
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instance_prompt = sdxl_loras[selected_state.index]["trigger_word"]
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new_placeholder = "Type a prompt. This LoRA applies for all prompts, no need for a trigger word" if instance_prompt == "" else "Type a prompt to use your selected LoRA"
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@@ -103,6 +117,12 @@ def update_selection(selected_state: gr.SelectData, sdxl_loras):
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- [SD.Next guide](https://github.com/vladmandic/automatic)
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- [AUTOMATIC1111 guide](https://stable-diffusion-art.com/lora/)
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'''
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return (
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updated_text,
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instance_prompt,
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@@ -110,6 +130,7 @@ def update_selection(selected_state: gr.SelectData, sdxl_loras):
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selected_state,
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use_with_diffusers,
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use_with_uis,
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)
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@@ -140,9 +161,17 @@ def merge_incompatible_lora(full_path_lora, lora_scale):
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del lora_model
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gc.collect()
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-
def run_lora(prompt, negative, lora_scale, selected_state, sdxl_loras, progress=gr.Progress(track_tqdm=True)):
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global last_lora, last_merged, last_fused, pipe
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-
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if negative == "":
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negative = None
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@@ -212,17 +241,22 @@ def swap_gallery(order, sdxl_loras):
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sorted_gallery = sorted(sdxl_loras, key=lambda x: x.get(order, 0), reverse=True)
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return [(item["image"], item["title"]) for item in sorted_gallery], sorted_gallery
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with gr.Blocks(css="custom.css") as demo:
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gr_sdxl_loras = gr.State(value=sdxl_loras_raw)
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title = gr.HTML(
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"""<h1><img src="https://i.imgur.com/vT48NAO.png" alt="LoRA"> LoRA the Explorer</h1>""",
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elem_id="title",
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)
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selected_state = gr.State()
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with gr.Row(elem_id="main_app"):
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with gr.
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order_gallery = gr.Radio(choices=["random", "likes"], value="random", label="Order by", elem_id="order_radio")
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gallery = gr.Gallery(
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#value=[(item["image"], item["title"]) for item in sdxl_loras],
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label="SDXL LoRA Gallery",
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@@ -251,7 +285,6 @@ with gr.Blocks(css="custom.css") as demo:
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with gr.Accordion("Advanced options", open=False):
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negative = gr.Textbox(label="Negative Prompt")
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weight = gr.Slider(0, 10, value=0.8, step=0.1, label="LoRA weight")
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-
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with gr.Column(elem_id="extra_info"):
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with gr.Accordion(
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"Use it with: 🧨 diffusers, ComfyUI, Invoke AI, SD.Next, AUTO1111",
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@@ -265,7 +298,7 @@ with gr.Blocks(css="custom.css") as demo:
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submit_title = gr.Markdown(
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"### Streamlined submission coming soon! Until then [suggest your LoRA in the community tab](https://huggingface.co/spaces/multimodalart/LoraTheExplorer/discussions) 🤗"
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)
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with gr.
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submit_source = gr.Radio(
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["Hugging Face", "CivitAI"],
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label="LoRA source",
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@@ -298,7 +331,14 @@ with gr.Blocks(css="custom.css") as demo:
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gallery.select(
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fn=update_selection,
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inputs=[gr_sdxl_loras],
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outputs=[prompt_title, prompt, prompt, selected_state, use_diffusers, use_uis],
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queue=False,
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show_progress=False
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)
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@@ -309,7 +349,7 @@ with gr.Blocks(css="custom.css") as demo:
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show_progress=False
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).success(
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fn=run_lora,
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inputs=[prompt, negative, weight, selected_state, gr_sdxl_loras],
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outputs=[result, share_group],
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)
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button.click(
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@@ -319,10 +359,10 @@ with gr.Blocks(css="custom.css") as demo:
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show_progress=False
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).success(
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fn=run_lora,
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inputs=[prompt, negative, weight, selected_state, gr_sdxl_loras],
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outputs=[result, share_group],
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)
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share_button.click(None, [], [],
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demo.load(fn=shuffle_gallery, inputs=[gr_sdxl_loras], outputs=[gallery, gr_sdxl_loras], queue=False)
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demo.queue(max_size=20)
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demo.launch()
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import json
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import gc
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import random
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from urllib.parse import quote
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with open("sdxl_loras.json", "r") as file:
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data = json.load(file)
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sdxl_loras_raw = [
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"text_embedding_weights": item.get("text_embedding_weights", None),
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"likes": item.get("likes", 0),
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"downloads": item.get("downloads", 0),
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"is_nc": item.get("is_nc", False),
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"new": item.get("new", False),
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}
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for item in data
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]
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"state_dict": state_dict
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}
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sdxl_loras_raw_new = [item for item in sdxl_loras_raw if item.get("new") == True]
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sdxl_loras_raw = [item for item in sdxl_loras_raw if item.get("new") != True]
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vae = AutoencoderKL.from_pretrained(
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"madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16
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)
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last_lora = ""
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last_merged = False
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last_fused = False
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js = '''
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var button = document.getElementById('button');
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// Add a click event listener to the button
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button.addEventListener('click', function() {
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element.classList.add('selected');
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});
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'''
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def update_selection(selected_state: gr.SelectData, sdxl_loras, is_new=False):
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lora_repo = sdxl_loras[selected_state.index]["repo"]
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instance_prompt = sdxl_loras[selected_state.index]["trigger_word"]
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new_placeholder = "Type a prompt. This LoRA applies for all prompts, no need for a trigger word" if instance_prompt == "" else "Type a prompt to use your selected LoRA"
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- [SD.Next guide](https://github.com/vladmandic/automatic)
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- [AUTOMATIC1111 guide](https://stable-diffusion-art.com/lora/)
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'''
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if(is_new):
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if(selected_state.index == 0):
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selected_state.index = -9999
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else:
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selected_state.index *= -1
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return (
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updated_text,
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instance_prompt,
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selected_state,
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use_with_diffusers,
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use_with_uis,
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gr.Gallery(selected_index=None)
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)
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del lora_model
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gc.collect()
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def run_lora(prompt, negative, lora_scale, selected_state, sdxl_loras, sdxl_loras_new, progress=gr.Progress(track_tqdm=True)):
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global last_lora, last_merged, last_fused, pipe
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print("Index when running ", selected_state.index)
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if(selected_state.index < 0):
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if(selected_state.index == -9999):
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selected_state.index = 0
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else:
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selected_state.index *= -1
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sdxl_loras = sdxl_loras_new
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print("Selected State: ", selected_state.index)
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print(sdxl_loras[selected_state.index]["repo"])
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if negative == "":
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negative = None
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sorted_gallery = sorted(sdxl_loras, key=lambda x: x.get(order, 0), reverse=True)
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return [(item["image"], item["title"]) for item in sorted_gallery], sorted_gallery
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def deselect():
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return gr.Gallery(selected_index=None)
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with gr.Blocks(css="custom.css") as demo:
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gr_sdxl_loras = gr.State(value=sdxl_loras_raw)
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gr_sdxl_loras_new = gr.State(value=sdxl_loras_raw_new)
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title = gr.HTML(
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"""<h1><img src="https://i.imgur.com/vT48NAO.png" alt="LoRA"> LoRA the Explorer</h1>""",
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elem_id="title",
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)
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selected_state = gr.State()
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with gr.Row(elem_id="main_app"):
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with gr.Group(elem_id="gallery_box"):
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order_gallery = gr.Radio(choices=["random", "likes"], value="random", label="Order by", elem_id="order_radio")
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selected_loras = gr.Gallery(label="Selected LoRAs", height=80, show_share_button=False, visible=False, elem_id="gallery_selected", )
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new_gallery = gr.Gallery(label="New LoRAs", elem_id="gallery_new", columns=3, value=[(item["image"], item["title"]) for item in sdxl_loras_raw_new], allow_preview=False, show_share_button=False)
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gallery = gr.Gallery(
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#value=[(item["image"], item["title"]) for item in sdxl_loras],
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label="SDXL LoRA Gallery",
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with gr.Accordion("Advanced options", open=False):
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negative = gr.Textbox(label="Negative Prompt")
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weight = gr.Slider(0, 10, value=0.8, step=0.1, label="LoRA weight")
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with gr.Column(elem_id="extra_info"):
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with gr.Accordion(
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"Use it with: 🧨 diffusers, ComfyUI, Invoke AI, SD.Next, AUTO1111",
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submit_title = gr.Markdown(
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"### Streamlined submission coming soon! Until then [suggest your LoRA in the community tab](https://huggingface.co/spaces/multimodalart/LoraTheExplorer/discussions) 🤗"
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)
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with gr.Group(elem_id="soon"):
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submit_source = gr.Radio(
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["Hugging Face", "CivitAI"],
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label="LoRA source",
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gallery.select(
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fn=update_selection,
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inputs=[gr_sdxl_loras],
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outputs=[prompt_title, prompt, prompt, selected_state, use_diffusers, use_uis, new_gallery],
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queue=False,
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show_progress=False
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)
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new_gallery.select(
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fn=update_selection,
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inputs=[gr_sdxl_loras_new, gr.State(True)],
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outputs=[prompt_title, prompt, prompt, selected_state, use_diffusers, use_uis, gallery],
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queue=False,
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show_progress=False
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)
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show_progress=False
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).success(
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fn=run_lora,
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inputs=[prompt, negative, weight, selected_state, gr_sdxl_loras, gr_sdxl_loras_new],
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outputs=[result, share_group],
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)
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button.click(
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show_progress=False
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).success(
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fn=run_lora,
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inputs=[prompt, negative, weight, selected_state, gr_sdxl_loras, gr_sdxl_loras_new],
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outputs=[result, share_group],
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)
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share_button.click(None, [], [], js=share_js)
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demo.load(fn=shuffle_gallery, inputs=[gr_sdxl_loras], outputs=[gallery, gr_sdxl_loras], queue=False, js=js)
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demo.queue(max_size=20)
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demo.launch(share=True)
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