Spaces:
Running
on
Zero
Running
on
Zero
envs
Browse files- README.md +1 -2
- app-12.py → app-23.py +62 -61
- app.py +53 -54
README.md
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@@ -4,10 +4,9 @@ emoji: 🪄
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colorFrom: blue
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colorTo: blue
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sdk: gradio
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sdk_version: 4.
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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colorFrom: blue
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colorTo: blue
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sdk: gradio
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sdk_version: 4.7.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app-12.py → app-23.py
RENAMED
@@ -150,69 +150,70 @@ image_examples = [
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"object",
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11318446767408804497,
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"",
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"turtle"
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],
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["__asset__/images/object/rose-1.jpg",
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["__asset__/images/object/jellyfish-1.jpg",
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["__asset__/images/camera/lush-1.jpg",
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["__asset__/images/camera/tusun-1.jpg",
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["__asset__/images/camera/painting-1.jpg",
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]
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POINTS = {
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}
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IMAGE_PATH = {
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}
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@@ -303,14 +304,14 @@ class ImageConductor:
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@spaces.GPU(duration=120)
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def run(self, first_frame_path, tracking_points, prompt, drag_mode, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, personalized, examples_type):
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print("Run!")
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if examples_type != "":
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original_width, original_height=384, 256
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if isinstance(tracking_points, list):
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example = gr.Examples(
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label="Input Example",
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examples=image_examples,
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inputs=[input_image, prompt, drag_mode, seed, personalized,
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examples_per_page=10,
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cache_examples=False,
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)
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"object",
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11318446767408804497,
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"",
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"__asset__/images/object/turtle-1.jpg",
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json.load(open("__asset__/trajs/object/turtle-1.json"))
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],
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# ["__asset__/images/object/rose-1.jpg",
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# "a red rose engulfed in flames.",
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# "object",
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# 6854275249656120509,
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# "",
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# "rose",
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# ],
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# ["__asset__/images/object/jellyfish-1.jpg",
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# "intricate detailing,photorealism,hyperrealistic, glowing jellyfish mushroom, flying, starry sky, bokeh, golden ratio composition.",
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# "object",
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# 17966188172968903484,
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# "HelloObject",
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# "jellyfish"
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# ],
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# ["__asset__/images/camera/lush-1.jpg",
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# "detailed craftsmanship, photorealism, hyperrealistic, roaring waterfall, misty spray, lush greenery, vibrant rainbow, golden ratio composition.",
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# "camera",
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# 7970487946960948963,
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# "HelloObject",
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# "lush",
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# ],
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# ["__asset__/images/camera/tusun-1.jpg",
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# "tusuncub with its mouth open, blurry, open mouth, fangs, photo background, looking at viewer, tongue, full body, solo, cute and lovely, Beautiful and realistic eye details, perfect anatomy, Nonsense, pure background, Centered-Shot, realistic photo, photograph, 4k, hyper detailed, DSLR, 24 Megapixels, 8mm Lens, Full Frame, film grain, Global Illumination, studio Lighting, Award Winning Photography, diffuse reflection, ray tracing.",
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# "camera",
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# 996953226890228361,
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# "TUSUN",
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# "tusun",
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# ],
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# ["__asset__/images/camera/painting-1.jpg",
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# "A oil painting.",
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# "camera",
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# 16867854766769816385,
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# "",
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# "painting"
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# ],
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]
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# POINTS = {
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# 'turtle': "__asset__/trajs/object/turtle-1.json",
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# 'rose': "__asset__/trajs/object/rose-1.json",
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# 'jellyfish': "__asset__/trajs/object/jellyfish-1.json",
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# 'lush': "__asset__/trajs/camera/lush-1.json",
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# 'tusun': "__asset__/trajs/camera/tusun-1.json",
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# 'painting': "__asset__/trajs/camera/painting-1.json",
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# }
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# IMAGE_PATH = {
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# 'turtle': "__asset__/images/object/turtle-1.jpg",
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# 'rose': "__asset__/images/object/rose-1.jpg",
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# 'jellyfish': "__asset__/images/object/jellyfish-1.jpg",
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# 'lush': "__asset__/images/camera/lush-1.jpg",
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# 'tusun': "__asset__/images/camera/tusun-1.jpg",
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# 'painting': "__asset__/images/camera/painting-1.jpg",
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# }
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@spaces.GPU(duration=120)
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def run(self, first_frame_path, tracking_points, prompt, drag_mode, negative_prompt, seed, randomize_seed, guidance_scale, num_inference_steps, personalized, examples_type):
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print("Run!")
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# if examples_type != "":
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# ### for adapting high version gradio
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# tracking_points = gr.State([])
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# first_frame_path = IMAGE_PATH[examples_type]
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# points = json.load(open(POINTS[examples_type]))
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# tracking_points.value.extend(points)
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# print("example first_frame_path", first_frame_path)
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# print("example tracking_points", tracking_points.value)
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original_width, original_height=384, 256
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if isinstance(tracking_points, list):
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example = gr.Examples(
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label="Input Example",
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examples=image_examples,
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inputs=[input_image, prompt, drag_mode, seed, personalized, first_frame_path_var, tracking_points_var],
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examples_per_page=10,
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cache_examples=False,
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)
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app.py
CHANGED
@@ -150,70 +150,69 @@ image_examples = [
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"object",
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11318446767408804497,
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"",
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"
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json.load(open("__asset__/trajs/object/turtle-1.json"))
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],
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example = gr.Examples(
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label="Input Example",
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examples=image_examples,
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inputs=[input_image, prompt, drag_mode, seed, personalized,
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examples_per_page=10,
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cache_examples=False,
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)
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"object",
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11318446767408804497,
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"",
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"turtle"
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],
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["__asset__/images/object/rose-1.jpg",
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"a red rose engulfed in flames.",
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"object",
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6854275249656120509,
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"",
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"rose",
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],
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["__asset__/images/object/jellyfish-1.jpg",
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"intricate detailing,photorealism,hyperrealistic, glowing jellyfish mushroom, flying, starry sky, bokeh, golden ratio composition.",
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"object",
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17966188172968903484,
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"HelloObject",
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"jellyfish"
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],
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["__asset__/images/camera/lush-1.jpg",
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"detailed craftsmanship, photorealism, hyperrealistic, roaring waterfall, misty spray, lush greenery, vibrant rainbow, golden ratio composition.",
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"camera",
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7970487946960948963,
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"HelloObject",
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"lush",
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],
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["__asset__/images/camera/tusun-1.jpg",
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"tusuncub with its mouth open, blurry, open mouth, fangs, photo background, looking at viewer, tongue, full body, solo, cute and lovely, Beautiful and realistic eye details, perfect anatomy, Nonsense, pure background, Centered-Shot, realistic photo, photograph, 4k, hyper detailed, DSLR, 24 Megapixels, 8mm Lens, Full Frame, film grain, Global Illumination, studio Lighting, Award Winning Photography, diffuse reflection, ray tracing.",
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"camera",
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996953226890228361,
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"TUSUN",
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"tusun",
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],
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["__asset__/images/camera/painting-1.jpg",
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"A oil painting.",
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"camera",
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16867854766769816385,
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"",
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"painting"
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],
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]
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POINTS = {
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'turtle': "__asset__/trajs/object/turtle-1.json",
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'rose': "__asset__/trajs/object/rose-1.json",
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'jellyfish': "__asset__/trajs/object/jellyfish-1.json",
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'lush': "__asset__/trajs/camera/lush-1.json",
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'tusun': "__asset__/trajs/camera/tusun-1.json",
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'painting': "__asset__/trajs/camera/painting-1.json",
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}
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IMAGE_PATH = {
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'turtle': "__asset__/images/object/turtle-1.jpg",
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'rose': "__asset__/images/object/rose-1.jpg",
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'jellyfish': "__asset__/images/object/jellyfish-1.jpg",
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'lush': "__asset__/images/camera/lush-1.jpg",
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'tusun': "__asset__/images/camera/tusun-1.jpg",
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'painting': "__asset__/images/camera/painting-1.jpg",
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}
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example = gr.Examples(
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label="Input Example",
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examples=image_examples,
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inputs=[input_image, prompt, drag_mode, seed, personalized, examples_type],
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examples_per_page=10,
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cache_examples=False,
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)
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