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Update app.py
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app.py
CHANGED
@@ -8,14 +8,13 @@ from PIL import Image
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from deep_translator import GoogleTranslator
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import json
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# Project by Nymbo
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API_URL = "https://api-inference.huggingface.co/models/
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API_TOKEN = os.getenv("HF_READ_TOKEN")
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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timeout = 100
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def query(prompt, is_negative=False, steps=
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if prompt == "" or prompt == None:
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return None
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@@ -32,11 +31,9 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
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payload = {
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"inputs": prompt,
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"is_negative": is_negative,
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed != -1 else random.randint(1, 1000000000),
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"strength": strength
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}
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response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
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@@ -74,8 +71,8 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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with gr.Row():
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with gr.Accordion("Advanced Settings", open=False):
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negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
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steps = gr.Slider(label="Sampling steps", value=
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cfg = gr.Slider(label="CFG Scale", value=
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method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
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strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
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seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
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from deep_translator import GoogleTranslator
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import json
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API_URL = "https://api-inference.huggingface.co/models/ovi054/rmx_flux"
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API_TOKEN = os.getenv("HF_READ_TOKEN")
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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timeout = 100
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def query(prompt, is_negative=False, steps=28, cfg_scale=3.5, sampler="DPM++ 2M Karras", seed=-1, strength=0.7):
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if prompt == "" or prompt == None:
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return None
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payload = {
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"inputs": prompt,
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed != -1 else random.randint(1, 1000000000),
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}
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response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
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with gr.Row():
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with gr.Accordion("Advanced Settings", open=False):
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negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
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steps = gr.Slider(label="Sampling steps", value=28, minimum=1, maximum=100, step=1)
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cfg = gr.Slider(label="CFG Scale", value=3.5, minimum=1, maximum=20, step=0.5)
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method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
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strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
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seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
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