Spaces:
Running
on
A100
Running
on
A100
new-sorting
#70
by
multimodalart
HF staff
- opened
- app.py +53 -27
- custom.css +5 -1
- sdxl_loras.json +6 -76
app.py
CHANGED
@@ -6,14 +6,13 @@ from safetensors.torch import load_file
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from share_btn import community_icon_html, loading_icon_html, share_js
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from cog_sdxl_dataset_and_utils import TokenEmbeddingsHandler
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import lora
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-
from time import sleep
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import copy
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import json
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import gc
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-
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with open("sdxl_loras.json", "r") as file:
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data = json.load(file)
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-
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{
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"image": item["image"],
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"title": item["title"],
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@@ -23,6 +22,8 @@ with open("sdxl_loras.json", "r") as file:
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"is_compatible": item["is_compatible"],
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"is_pivotal": item.get("is_pivotal", False),
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"text_embedding_weights": item.get("text_embedding_weights", None),
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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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@@ -30,16 +31,20 @@ with open("sdxl_loras.json", "r") as file:
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device = "cuda"
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-
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saved_name = hf_hub_download(item["repo"], item["weights"])
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if not saved_name.endswith('.safetensors'):
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state_dict = torch.load(saved_name)
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else:
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state_dict = load_file(saved_name)
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-
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item["
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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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@@ -55,7 +60,7 @@ 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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-
def update_selection(selected_state: gr.SelectData):
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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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@@ -135,7 +140,7 @@ 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, progress=gr.Progress(track_tqdm=True)):
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global last_lora, last_merged, last_fused, pipe
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if negative == "":
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@@ -145,8 +150,9 @@ def run_lora(prompt, negative, lora_scale, selected_state, progress=gr.Progress(
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raise gr.Error("You must select a LoRA")
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repo_name = sdxl_loras[selected_state.index]["repo"]
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weight_name = sdxl_loras[selected_state.index]["weights"]
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-
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-
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cross_attention_kwargs = None
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if last_lora != repo_name:
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if last_merged:
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@@ -186,8 +192,8 @@ def run_lora(prompt, negative, lora_scale, selected_state, progress=gr.Progress(
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image = pipe(
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prompt=prompt,
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negative_prompt=negative,
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-
width=
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height=
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num_inference_steps=20,
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guidance_scale=7.5,
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).images[0]
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@@ -195,22 +201,36 @@ def run_lora(prompt, negative, lora_scale, selected_state, progress=gr.Progress(
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gc.collect()
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return image, gr.update(visible=True)
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with gr.Blocks(css="custom.css") as demo:
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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():
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-
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-
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-
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-
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-
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-
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-
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-
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with gr.Column():
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prompt_title = gr.Markdown(
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value="### Click on a LoRA in the gallery to select it",
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@@ -268,12 +288,18 @@ with gr.Blocks(css="custom.css") as demo:
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submit_disclaimer = gr.Markdown(
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"This is a curated gallery by me, [apolinário (multimodal.art)](https://twitter.com/multimodalart). I'll try to include as many cool LoRAs as they are submitted! You can [duplicate this Space](https://huggingface.co/spaces/multimodalart/LoraTheExplorer?duplicate=true) to use it privately, and add your own LoRAs by editing `sdxl_loras.json` in the Files tab of your private space."
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)
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-
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gallery.select(
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-
update_selection,
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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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prompt.submit(
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fn=check_selected,
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@@ -282,7 +308,7 @@ 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],
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outputs=[result, share_group],
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)
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button.click(
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@@ -292,10 +318,10 @@ 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],
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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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-
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demo.queue(max_size=20)
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demo.launch()
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from share_btn import community_icon_html, loading_icon_html, share_js
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from cog_sdxl_dataset_and_utils import TokenEmbeddingsHandler
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import lora
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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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{
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"image": item["image"],
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"title": item["title"],
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"is_compatible": item["is_compatible"],
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"is_pivotal": item.get("is_pivotal", False),
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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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device = "cuda"
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+
state_dicts = {}
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for item in sdxl_loras_raw:
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saved_name = hf_hub_download(item["repo"], item["weights"])
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if not saved_name.endswith('.safetensors'):
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state_dict = torch.load(saved_name)
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else:
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state_dict = load_file(saved_name)
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+
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state_dicts[item["repo"]] = {
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"saved_name": saved_name,
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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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last_lora = ""
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last_merged = False
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last_fused = False
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+
def update_selection(selected_state: gr.SelectData, sdxl_loras):
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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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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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if negative == "":
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raise gr.Error("You must select a LoRA")
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repo_name = sdxl_loras[selected_state.index]["repo"]
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weight_name = sdxl_loras[selected_state.index]["weights"]
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+
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full_path_lora = state_dicts[repo_name]["saved_name"]
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loaded_state_dict = state_dicts[repo_name]["state_dict"]
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cross_attention_kwargs = None
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if last_lora != repo_name:
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if last_merged:
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image = pipe(
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prompt=prompt,
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negative_prompt=negative,
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+
width=1024,
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height=1024,
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num_inference_steps=20,
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guidance_scale=7.5,
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).images[0]
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gc.collect()
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return image, gr.update(visible=True)
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def shuffle_gallery(sdxl_loras):
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random.shuffle(sdxl_loras)
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return [(item["image"], item["title"]) for item in sdxl_loras], sdxl_loras
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+
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def swap_gallery(order, sdxl_loras):
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if(order == "random"):
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return shuffle_gallery(sdxl_loras)
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else:
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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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+
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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():
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with gr.Box(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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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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allow_preview=False,
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columns=3,
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elem_id="gallery",
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show_share_button=False
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)
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with gr.Column():
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prompt_title = gr.Markdown(
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value="### Click on a LoRA in the gallery to select it",
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submit_disclaimer = gr.Markdown(
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"This is a curated gallery by me, [apolinário (multimodal.art)](https://twitter.com/multimodalart). I'll try to include as many cool LoRAs as they are submitted! You can [duplicate this Space](https://huggingface.co/spaces/multimodalart/LoraTheExplorer?duplicate=true) to use it privately, and add your own LoRAs by editing `sdxl_loras.json` in the Files tab of your private space."
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)
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order_gallery.change(
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fn=swap_gallery,
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inputs=[order_gallery, gr_sdxl_loras],
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outputs=[gallery, gr_sdxl_loras],
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queue=False
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)
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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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prompt.submit(
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fn=check_selected,
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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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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, [], [], _js=share_js)
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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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custom.css
CHANGED
@@ -19,7 +19,11 @@ div#share-btn-container > div {flex-direction: row;background: black;align-items
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#share-btn-container.hidden {display: none!important}
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#extra_info{margin-top: 1em}
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.pending .min {min-height: auto}
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-
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@media (max-width: 527px) {
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#title h1{font-size: 2.2em}
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#title img{width: 80px;}
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#share-btn-container.hidden {display: none!important}
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#extra_info{margin-top: 1em}
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.pending .min {min-height: auto}
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+
#gallery_box .form{border: 0 !important}
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#order_radio{border: 0;padding-left: 0}
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#order_radio .form{border:0 !important}
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#order_radio [data-testid="block-info"]{float: left;margin-top: 2px;margin-right: 6px}
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#order_radio label{padding: 0.25em 0.75em !important;font-size: 85% !important;}
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@media (max-width: 527px) {
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#title h1{font-size: 2.2em}
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#title img{width: 80px;}
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sdxl_loras.json
CHANGED
@@ -94,16 +94,6 @@
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"likes": 5,
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"downloads": 0
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},
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-
{
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-
"image": "https://i.imgur.com/Su4bFgm.png",
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"title": "Vulcan SDXL",
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"repo": "davizca87/vulcan",
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"trigger_word": "v5lcn",
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"weights": "v5lcnXL-000004.safetensors",
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-
"is_compatible": true,
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-
"likes": 3,
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-
"downloads": 0
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-
},
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{
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"image": "https://huggingface.co/artificialguybr/ColoringBookRedmond/resolve/main/00009-1364020674.png",
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"title": "ColoringBook.Redmond",
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@@ -577,47 +567,17 @@
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{
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"repo": "CiroN2022/road-sign",
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"title": "road-sign",
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-
"trigger_word":
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"is_compatible": true,
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"image": "https://huggingface.co/CiroN2022/road-sign/resolve/main/2338481.jpeg",
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"weights": "road_sign.safetensors",
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"likes": 0,
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"downloads": 0
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},
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-
{
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-
"repo": "CiroN2022/mind-warp",
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-
"title": "mind-warp",
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-
"trigger_word": null,
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-
"is_compatible": true,
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"image": "https://huggingface.co/CiroN2022/mind-warp/resolve/main/2308272.jpeg",
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"weights": "MindWarp.safetensors",
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-
"likes": 0,
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-
"downloads": 0
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-
},
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-
{
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"repo": "CiroN2022/shoes",
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-
"title": "shoes",
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-
"trigger_word": null,
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-
"is_compatible": true,
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"image": "https://huggingface.co/CiroN2022/shoes/resolve/main/2235317.jpeg",
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"weights": "shoes.safetensors",
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-
"likes": 0,
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-
"downloads": 0
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-
},
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-
{
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"repo": "CiroN2022/chroma-essence",
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"title": "chroma-essence",
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-
"trigger_word": null,
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-
"is_compatible": true,
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-
"image": "https://huggingface.co/CiroN2022/chroma-essence/resolve/main/2216619.jpeg",
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-
"weights": "Chroma_Essence.safetensors",
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-
"likes": 3,
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-
"downloads": 0
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-
},
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{
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"repo": "CiroN2022/mosaic-style",
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"title": "mosaic-style",
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-
"trigger_word":
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"is_compatible": true,
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"image": "https://huggingface.co/CiroN2022/mosaic-style/resolve/main/2216189.jpeg",
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"weights": "mosaic.safetensors",
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@@ -627,7 +587,7 @@
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{
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"repo": "CiroN2022/cd-md-music",
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"title": "cd-md-music",
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-
"trigger_word":
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"is_compatible": true,
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"image": "https://huggingface.co/CiroN2022/cd-md-music/resolve/main/2183289.jpeg",
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"weights": "cd_music.safetensors",
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@@ -637,7 +597,7 @@
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{
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"repo": "CiroN2022/hair-style",
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"title": "hair-style",
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-
"trigger_word":
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"is_compatible": true,
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"image": "https://huggingface.co/CiroN2022/hair-style/resolve/main/2193812.jpeg",
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"weights": "hair_style.safetensors",
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@@ -674,26 +634,6 @@
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"likes": 0,
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"downloads": 0
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},
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-
{
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"repo": "CiroN2022/cyberpunk-anime-style",
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"title": "cyberpunk-anime-style",
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"trigger_word": null,
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-
"is_compatible": true,
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"image": "https://huggingface.co/CiroN2022/cyberpunk-anime-style/resolve/main/2039030.jpeg",
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"weights": "Cyberpunk _Anime_sdxl.safetensors",
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"likes": 1,
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-
"downloads": 0
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-
},
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-
{
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"title": "PixelArtRedmond",
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@@ -707,27 +647,17 @@
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{
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{
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"weights": "PixelArtRedmond-Lite64.safetensors"
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{
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"title": "ClayAnimationRedmond",
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{
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{
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"title": "PixelArtRedmond",
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{
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{
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