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shweaung
commited on
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•
6158581
1
Parent(s):
9d14420
Update app.py
Browse files
app.py
CHANGED
@@ -3,8 +3,10 @@ import requests
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import io
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import random
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import os
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from PIL import Image
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from deep_translator import GoogleTranslator
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# Project by Nymbo
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@@ -13,27 +15,20 @@ 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=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, width=512, height=512):
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if not prompt:
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return None
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key = random.randint(0, 999)
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if API_TOKEN is None:
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raise gr.Error("API token is missing. Please set the HF_READ_TOKEN environment variable.")
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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except Exception as e:
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print(f"Translation error: {e}")
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raise gr.Error("Failed to translate the prompt.")
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prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
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print(f'
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payload = {
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"inputs": prompt,
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@@ -41,21 +36,22 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
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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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"width": width,
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"height": height
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}
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try:
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response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
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response.raise_for_status()
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image_bytes = response.content
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image = Image.open(io.BytesIO(image_bytes))
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print(f'
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return image
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except requests.exceptions.RequestException as e:
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print(f"Error: Failed to get image. {e}")
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raise gr.Error(f"Failed to get image: {e}")
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except Exception as e:
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print(f"Error when trying to open the image: {e}")
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return None
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@@ -73,7 +69,8 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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with gr.Column(elem_id="app-container"):
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with gr.Row():
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with gr.Column(elem_id="prompt-container"):
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with gr.Row():
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with gr.Accordion("အဆင့်မြင့် 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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@@ -82,14 +79,12 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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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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width = gr.Slider(label="Width", value=512, minimum=256, maximum=MAX_IMAGE_SIZE, step=32)
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height = gr.Slider(label="Height", value=512, minimum=256, maximum=MAX_IMAGE_SIZE, step=32)
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with gr.Row():
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text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
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with gr.Row():
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image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
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text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength
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app.launch(show_api=False, share=False)
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import io
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import random
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import os
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import time
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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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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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timeout = 100
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def query(prompt, is_negative=False, steps=30, cfg_scale=7, 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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key = random.randint(0, 999)
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API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN")])
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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prompt = GoogleTranslator(source='my', target='en').translate(prompt)
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print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
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prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
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print(f'\033[1mGeneration {key}:\033[0m {prompt}')
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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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"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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if response.status_code != 200:
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print(f"Error: Failed to get image. Response status: {response.status_code}")
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print(f"Response content: {response.text}")
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if response.status_code == 503:
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raise gr.Error(f"{response.status_code} : The model is being loaded")
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raise gr.Error(f"{response.status_code}")
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try:
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image_bytes = response.content
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image = Image.open(io.BytesIO(image_bytes))
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print(f'\033[1mGeneration {key} completed!\033[0m ({prompt})')
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return image
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except Exception as e:
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print(f"Error when trying to open the image: {e}")
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return None
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with gr.Column(elem_id="app-container"):
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with gr.Row():
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with gr.Column(elem_id="prompt-container"):
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with gr.Row():
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text_prompt = gr.Textbox(label="Prompt ရေးပါ", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
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with gr.Row():
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with gr.Accordion("အဆင့်မြင့် 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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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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with gr.Row():
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text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
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with gr.Row():
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image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
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text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength], outputs=image_output)
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app.launch(show_api=False, share=False)
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