ovi054 commited on
Commit
40d7442
1 Parent(s): dbe61f8

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +21 -3
app.py CHANGED
@@ -9,16 +9,17 @@ 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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  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}"}
@@ -53,6 +54,13 @@ def query(prompt, is_negative=False, steps=28, cfg_scale=3.5, sampler="DPM++ 2M
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  print(f"Error when trying to open the image: {e}")
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  return None
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  css = """
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  #app-container {
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  max-width: 600px;
@@ -68,6 +76,8 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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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", 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("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")
@@ -81,7 +91,15 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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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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  import json
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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(lora_id="ByteDance/Hyper-SD", 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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  key = random.randint(0, 999)
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+
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+ API_URL = "https://api-inference.huggingface.co/models/"+ lora_id
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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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  print(f"Error when trying to open the image: {e}")
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  return None
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+
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+ examples = [
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+ "a tiny astronaut hatching from an egg on the moon",
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+ "a cat holding a sign that says hello world",
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+ "an anime illustration of a wiener schnitzel",
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+ ]
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+
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  css = """
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  #app-container {
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  max-width: 600px;
 
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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", placeholder="Enter a prompt here", lines=2, elem_id="prompt-text-input")
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+ with gr.Row():
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+ custom_lora = gr.Textbox(label="Custom LoRA", info="LoRA Hugging Face path", placeholder="multimodalart/vintage-ads-flux")
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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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  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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+
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+ gr.Examples(
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+ examples = examples,
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+ fn = infer,
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+ inputs = [prompt],
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+ outputs = [result, seed],
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+ cache_examples="lazy"
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+ )
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+ text_button.click(query, inputs=[custom_lora, text_prompt, negative_prompt, steps, cfg, method, seed, strength], outputs=image_output)
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  app.launch(show_api=False, share=False)