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Running on Zero
Running on Zero
Commit ·
3704c95
1
Parent(s): f439b68
fixes and niceties (#2)
Browse files- Delete diffusers-0.39.0.dev0-py3-none-any.whl (46784b6adb18facfb0a671488eb876ba492cdc7c)
- Update app.py (5eb26d082d38a600e76c8d3f611915f60bdb60a6)
- Update requirements.txt (992463ea752570e91e4b913bc136d8e2796160d1)
- Delete __pycache__ (3a14252c80716ff74b9a7adb1dd0d79d91c46b68)
- Update app.py (3f0002c8dd4e48124628c034edce5d12bc5b2ba1)
- Update app.py (d5ffdb92d021b0ce58952dd9c05817f693ba95f5)
Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>
- __pycache__/app.cpython-312.pyc +0 -0
- app.py +13 -17
- diffusers-0.39.0.dev0-py3-none-any.whl +0 -3
- requirements.txt +1 -0
__pycache__/app.cpython-312.pyc
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app.py
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@@ -3,14 +3,6 @@ import os
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import random
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import subprocess
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import sys
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# The Krea2 pipeline ships as a private diffusers build bundled with this Space.
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# Install it from the local wheel at runtime (the repo files are present here,
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# unlike during the build-time pip step).
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_wheel = glob.glob(os.path.join(os.path.dirname(__file__), "diffusers-*.whl"))
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if _wheel:
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subprocess.check_call([sys.executable, "-m", "pip", "install", "--no-cache-dir", _wheel[0]])
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import spaces
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import torch
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import gradio as gr
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@@ -198,14 +190,14 @@ def _duration(prompt, negative_prompt, model, steps, guidance, width, height, se
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@spaces.GPU(duration=_duration, size="xlarge")
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def generate(
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prompt,
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negative_prompt,
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model,
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steps,
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guidance,
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width,
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height,
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seed,
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randomize,
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progress=gr.Progress(track_tqdm=True),
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):
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if not prompt or not prompt.strip():
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@@ -370,7 +362,7 @@ footer { display: none !important; }
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.gradio-container .prose a { color: """ + KREA_ACCENT + """; }
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"""
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with gr.Blocks(title="Krea 2"
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with gr.Column(elem_id="page"):
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gr.HTML(
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"""
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@@ -451,8 +443,12 @@ with gr.Blocks(title="Krea 2", fill_height=True) as demo:
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else:
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# No bundled sample images present; show the prompts as text.
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gr.Examples(
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examples=EXAMPLE_PROMPTS,
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inputs=[prompt],
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label="Example prompts",
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examples_per_page=4,
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)
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import random
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import subprocess
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import sys
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import spaces
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import torch
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import gradio as gr
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@spaces.GPU(duration=_duration, size="xlarge")
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def generate(
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prompt,
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negative_prompt="",
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model="Turbo",
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steps=8,
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guidance=0,
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width=1024,
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height=1024,
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seed=42,
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randomize=False,
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progress=gr.Progress(track_tqdm=True),
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):
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if not prompt or not prompt.strip():
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.gradio-container .prose a { color: """ + KREA_ACCENT + """; }
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"""
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with gr.Blocks(title="Krea 2") as demo:
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with gr.Column(elem_id="page"):
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gr.HTML(
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"""
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else:
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# No bundled sample images present; show the prompts as text.
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gr.Examples(
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fn=generate,
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examples=EXAMPLE_PROMPTS,
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inputs=[prompt],
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outputs=[output, seed],
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cache_examples=True,
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cache_mode="lazy",
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label="Example prompts",
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examples_per_page=4,
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)
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diffusers-0.39.0.dev0-py3-none-any.whl
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version https://git-lfs.github.com/spec/v1
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oid sha256:a0593cfc51465e7414e1dc2c4c6acdf14fadc4e346d49a19d6116e2d50adf856
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size 5594675
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requirements.txt
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transformers>=4.57.0
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accelerate
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sentencepiece
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transformers>=4.57.0
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accelerate
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sentencepiece
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git+https://github.com/huggingface/diffusers.git
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