Spaces:
Running
on
Zero
Running
on
Zero
opt quick glb
Browse files
app.py
CHANGED
@@ -265,6 +265,36 @@ def split_image(image: Image.Image) -> List[Image.Image]:
|
|
265 |
images.append(Image.fromarray(image[:, s:e+1]))
|
266 |
return [preprocess_image(image) for image in images]
|
267 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
268 |
|
269 |
with gr.Blocks(delete_cache=(600, 600)) as demo:
|
270 |
gr.Markdown("""
|
@@ -310,6 +340,7 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
|
|
310 |
with gr.Row():
|
311 |
extract_glb_btn = gr.Button("Extract GLB", interactive=False)
|
312 |
extract_gs_btn = gr.Button("Extract Gaussian", interactive=False)
|
|
|
313 |
gr.Markdown("""
|
314 |
*NOTE: Gaussian file can be very large (~50MB), it will take a while to display and download.*
|
315 |
""")
|
@@ -321,11 +352,6 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
|
|
321 |
with gr.Row():
|
322 |
download_glb = gr.DownloadButton(label="Download GLB", interactive=False)
|
323 |
download_gs = gr.DownloadButton(label="Download Gaussian", interactive=False)
|
324 |
-
|
325 |
-
with gr.Accordion("Quick GLB from Image", open=False):
|
326 |
-
generate_glb_btn = gr.Button("Upload and Generate GLB Automatically")
|
327 |
-
quick_video = gr.Video(label="Quick 3D Preview", autoplay=True, loop=True)
|
328 |
-
quick_glb_download = gr.DownloadButton(label="Download GLB", interactive=False)
|
329 |
|
330 |
is_multiimage = gr.State(False)
|
331 |
output_buf = gr.State()
|
@@ -424,23 +450,26 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
|
|
424 |
|
425 |
generate_glb_btn.click(
|
426 |
lambda: get_seed(True, 0),
|
427 |
-
outputs=[
|
428 |
).then(
|
429 |
image_to_3d,
|
430 |
inputs=[
|
431 |
image_prompt,
|
432 |
gr.State([]),
|
433 |
gr.State(False),
|
434 |
-
|
435 |
gr.State(7.5), gr.State(12),
|
436 |
gr.State(3.0), gr.State(12),
|
437 |
gr.State("stochastic")
|
438 |
],
|
439 |
-
outputs=[output_buf,
|
440 |
).then(
|
441 |
extract_glb,
|
442 |
-
inputs=[output_buf,
|
443 |
-
outputs=[model_output,
|
|
|
|
|
|
|
444 |
)
|
445 |
|
446 |
|
|
|
265 |
images.append(Image.fromarray(image[:, s:e+1]))
|
266 |
return [preprocess_image(image) for image in images]
|
267 |
|
268 |
+
def quick_generate_glb(
|
269 |
+
image: Image.Image,
|
270 |
+
multiimages: List[Tuple[Image.Image, str]],
|
271 |
+
is_multiimage: bool,
|
272 |
+
seed: int,
|
273 |
+
ss_guidance_strength: float,
|
274 |
+
ss_sampling_steps: int,
|
275 |
+
slat_guidance_strength: float,
|
276 |
+
slat_sampling_steps: int,
|
277 |
+
multiimage_algo: Literal["multidiffusion", "stochastic"],
|
278 |
+
mesh_simplify: float,
|
279 |
+
texture_size: int,
|
280 |
+
req: gr.Request,
|
281 |
+
) -> Tuple[str, str]:
|
282 |
+
seed = get_seed(True, 0)
|
283 |
+
state, _ = image_to_3d(
|
284 |
+
image=image,
|
285 |
+
multiimages=[],
|
286 |
+
is_multiimage=False,
|
287 |
+
seed=seed,
|
288 |
+
ss_guidance_strength=7.5,
|
289 |
+
ss_sampling_steps=12,
|
290 |
+
slat_guidance_strength=3.0,
|
291 |
+
slat_sampling_steps=12,
|
292 |
+
multiimage_algo="stochastic",
|
293 |
+
req=None
|
294 |
+
)
|
295 |
+
return extract_glb(state, mesh_simplify=0.95, texture_size=1024, req=None)
|
296 |
+
|
297 |
+
|
298 |
|
299 |
with gr.Blocks(delete_cache=(600, 600)) as demo:
|
300 |
gr.Markdown("""
|
|
|
340 |
with gr.Row():
|
341 |
extract_glb_btn = gr.Button("Extract GLB", interactive=False)
|
342 |
extract_gs_btn = gr.Button("Extract Gaussian", interactive=False)
|
343 |
+
generate_glb_btn = gr.Button("Quick Generate GLB")
|
344 |
gr.Markdown("""
|
345 |
*NOTE: Gaussian file can be very large (~50MB), it will take a while to display and download.*
|
346 |
""")
|
|
|
352 |
with gr.Row():
|
353 |
download_glb = gr.DownloadButton(label="Download GLB", interactive=False)
|
354 |
download_gs = gr.DownloadButton(label="Download Gaussian", interactive=False)
|
|
|
|
|
|
|
|
|
|
|
355 |
|
356 |
is_multiimage = gr.State(False)
|
357 |
output_buf = gr.State()
|
|
|
450 |
|
451 |
generate_glb_btn.click(
|
452 |
lambda: get_seed(True, 0),
|
453 |
+
outputs=[]
|
454 |
).then(
|
455 |
image_to_3d,
|
456 |
inputs=[
|
457 |
image_prompt,
|
458 |
gr.State([]),
|
459 |
gr.State(False),
|
460 |
+
gr.State(0),
|
461 |
gr.State(7.5), gr.State(12),
|
462 |
gr.State(3.0), gr.State(12),
|
463 |
gr.State("stochastic")
|
464 |
],
|
465 |
+
outputs=[output_buf, video_output],
|
466 |
).then(
|
467 |
extract_glb,
|
468 |
+
inputs=[output_buf, gr.State(0.95), gr.State(1024)],
|
469 |
+
outputs=[model_output, glb_download]
|
470 |
+
).then(
|
471 |
+
lambda: gr.Button(interactive=True),
|
472 |
+
outputs=[glb_download]
|
473 |
)
|
474 |
|
475 |
|