Spaces:
Runtime error
Runtime error
Commit
•
2804630
1
Parent(s):
60e54b2
Update app.py
Browse files
app.py
CHANGED
@@ -10,7 +10,7 @@ from time import sleep
|
|
10 |
import copy
|
11 |
import json
|
12 |
import gc
|
13 |
-
|
14 |
with open("sdxl_loras.json", "r") as file:
|
15 |
data = json.load(file)
|
16 |
sdxl_loras = [
|
@@ -23,8 +23,6 @@ with open("sdxl_loras.json", "r") as file:
|
|
23 |
"is_compatible": item["is_compatible"],
|
24 |
"is_pivotal": item.get("is_pivotal", False),
|
25 |
"text_embedding_weights": item.get("text_embedding_weights", None),
|
26 |
-
"likes": item.get("likes", 0),
|
27 |
-
"downloads": item.get("downloads", 0),
|
28 |
"is_nc": item.get("is_nc", False)
|
29 |
}
|
30 |
for item in data
|
@@ -43,8 +41,6 @@ for item in sdxl_loras:
|
|
43 |
item["saved_name"] = saved_name
|
44 |
item["state_dict"] = state_dict #{k: v.to(device=device, dtype=torch.float16) for k, v in state_dict.items() if torch.is_tensor(v)}
|
45 |
|
46 |
-
gr_sdxl_loras = gr.State(value=sdxl_loras)
|
47 |
-
|
48 |
vae = AutoencoderKL.from_pretrained(
|
49 |
"madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16
|
50 |
)
|
@@ -59,7 +55,7 @@ pipe.to(device)
|
|
59 |
last_lora = ""
|
60 |
last_merged = False
|
61 |
last_fused = False
|
62 |
-
def update_selection(selected_state: gr.SelectData
|
63 |
lora_repo = sdxl_loras[selected_state.index]["repo"]
|
64 |
instance_prompt = sdxl_loras[selected_state.index]["trigger_word"]
|
65 |
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"
|
@@ -139,7 +135,7 @@ def merge_incompatible_lora(full_path_lora, lora_scale):
|
|
139 |
del lora_model
|
140 |
gc.collect()
|
141 |
|
142 |
-
def run_lora(prompt, negative, lora_scale, selected_state,
|
143 |
global last_lora, last_merged, last_fused, pipe
|
144 |
|
145 |
if negative == "":
|
@@ -199,17 +195,6 @@ def run_lora(prompt, negative, lora_scale, selected_state, sdxl_loras, progress=
|
|
199 |
gc.collect()
|
200 |
return image, gr.update(visible=True)
|
201 |
|
202 |
-
def shuffle_gallery(sdxl_loras):
|
203 |
-
random.shuffle(sdxl_loras)
|
204 |
-
return [(item["image"], item["title"]) for item in sdxl_loras], sdxl_loras
|
205 |
-
|
206 |
-
def swap_gallery(order, sdxl_loras):
|
207 |
-
if(order == "random"):
|
208 |
-
return shuffle_gallery(sdxl_loras)
|
209 |
-
else:
|
210 |
-
sorted_gallery = sorted(sdxl_loras, key=lambda x: x.get(order, 0), reverse=True)
|
211 |
-
return [(item["image"], item["title"]) for item in sorted_gallery], sdxl_loras
|
212 |
-
|
213 |
|
214 |
with gr.Blocks(css="custom.css") as demo:
|
215 |
title = gr.HTML(
|
@@ -218,16 +203,14 @@ with gr.Blocks(css="custom.css") as demo:
|
|
218 |
)
|
219 |
selected_state = gr.State()
|
220 |
with gr.Row():
|
221 |
-
|
222 |
-
|
223 |
-
|
224 |
-
|
225 |
-
|
226 |
-
|
227 |
-
|
228 |
-
|
229 |
-
show_share_button=False
|
230 |
-
)
|
231 |
with gr.Column():
|
232 |
prompt_title = gr.Markdown(
|
233 |
value="### Click on a LoRA in the gallery to select it",
|
@@ -285,15 +268,9 @@ with gr.Blocks(css="custom.css") as demo:
|
|
285 |
submit_disclaimer = gr.Markdown(
|
286 |
"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."
|
287 |
)
|
288 |
-
|
289 |
-
fn=swap_gallery,
|
290 |
-
inputs=[order_gallery, gr_sdxl_loras],
|
291 |
-
outputs=[gallery, gr_sdxl_loras],
|
292 |
-
queue=False
|
293 |
-
)
|
294 |
gallery.select(
|
295 |
update_selection,
|
296 |
-
inputs=[gr_sdxl_loras],
|
297 |
outputs=[prompt_title, prompt, prompt, selected_state, use_diffusers, use_uis],
|
298 |
queue=False,
|
299 |
show_progress=False,
|
@@ -305,7 +282,7 @@ with gr.Blocks(css="custom.css") as demo:
|
|
305 |
show_progress=False
|
306 |
).success(
|
307 |
fn=run_lora,
|
308 |
-
inputs=[prompt, negative, weight, selected_state
|
309 |
outputs=[result, share_group],
|
310 |
)
|
311 |
button.click(
|
@@ -319,6 +296,6 @@ with gr.Blocks(css="custom.css") as demo:
|
|
319 |
outputs=[result, share_group],
|
320 |
)
|
321 |
share_button.click(None, [], [], _js=share_js)
|
322 |
-
|
323 |
demo.queue(max_size=20)
|
324 |
demo.launch()
|
|
|
10 |
import copy
|
11 |
import json
|
12 |
import gc
|
13 |
+
|
14 |
with open("sdxl_loras.json", "r") as file:
|
15 |
data = json.load(file)
|
16 |
sdxl_loras = [
|
|
|
23 |
"is_compatible": item["is_compatible"],
|
24 |
"is_pivotal": item.get("is_pivotal", False),
|
25 |
"text_embedding_weights": item.get("text_embedding_weights", None),
|
|
|
|
|
26 |
"is_nc": item.get("is_nc", False)
|
27 |
}
|
28 |
for item in data
|
|
|
41 |
item["saved_name"] = saved_name
|
42 |
item["state_dict"] = state_dict #{k: v.to(device=device, dtype=torch.float16) for k, v in state_dict.items() if torch.is_tensor(v)}
|
43 |
|
|
|
|
|
44 |
vae = AutoencoderKL.from_pretrained(
|
45 |
"madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16
|
46 |
)
|
|
|
55 |
last_lora = ""
|
56 |
last_merged = False
|
57 |
last_fused = False
|
58 |
+
def update_selection(selected_state: gr.SelectData):
|
59 |
lora_repo = sdxl_loras[selected_state.index]["repo"]
|
60 |
instance_prompt = sdxl_loras[selected_state.index]["trigger_word"]
|
61 |
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"
|
|
|
135 |
del lora_model
|
136 |
gc.collect()
|
137 |
|
138 |
+
def run_lora(prompt, negative, lora_scale, selected_state, progress=gr.Progress(track_tqdm=True)):
|
139 |
global last_lora, last_merged, last_fused, pipe
|
140 |
|
141 |
if negative == "":
|
|
|
195 |
gc.collect()
|
196 |
return image, gr.update(visible=True)
|
197 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
198 |
|
199 |
with gr.Blocks(css="custom.css") as demo:
|
200 |
title = gr.HTML(
|
|
|
203 |
)
|
204 |
selected_state = gr.State()
|
205 |
with gr.Row():
|
206 |
+
gallery = gr.Gallery(
|
207 |
+
value=[(item["image"], item["title"]) for item in sdxl_loras],
|
208 |
+
label="SDXL LoRA Gallery",
|
209 |
+
allow_preview=False,
|
210 |
+
columns=3,
|
211 |
+
elem_id="gallery",
|
212 |
+
show_share_button=False
|
213 |
+
)
|
|
|
|
|
214 |
with gr.Column():
|
215 |
prompt_title = gr.Markdown(
|
216 |
value="### Click on a LoRA in the gallery to select it",
|
|
|
268 |
submit_disclaimer = gr.Markdown(
|
269 |
"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."
|
270 |
)
|
271 |
+
|
|
|
|
|
|
|
|
|
|
|
272 |
gallery.select(
|
273 |
update_selection,
|
|
|
274 |
outputs=[prompt_title, prompt, prompt, selected_state, use_diffusers, use_uis],
|
275 |
queue=False,
|
276 |
show_progress=False,
|
|
|
282 |
show_progress=False
|
283 |
).success(
|
284 |
fn=run_lora,
|
285 |
+
inputs=[prompt, negative, weight, selected_state],
|
286 |
outputs=[result, share_group],
|
287 |
)
|
288 |
button.click(
|
|
|
296 |
outputs=[result, share_group],
|
297 |
)
|
298 |
share_button.click(None, [], [], _js=share_js)
|
299 |
+
|
300 |
demo.queue(max_size=20)
|
301 |
demo.launch()
|