Text-to-Image
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model card

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  1. README.md +13 -8
README.md CHANGED
@@ -101,6 +101,8 @@ Please download them and place them in the ./base_models folder.
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  ```python
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  import torch
 
 
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  from ip_adapter.utils import BLOCKS as BLOCKS
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  from ip_adapter.utils import controlnet_BLOCKS as controlnet_BLOCKS
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  from PIL import Image
@@ -150,9 +152,9 @@ csgo = CSGO(pipe, image_encoder_path, csgo_ckpt, device, num_content_tokens=4,nu
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  )
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- style_name = 'img_0.png'
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  content_name = 'img_0.png'
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- style_image = "../assets/{}".format(style_name)
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  content_image = Image.open('../assets/{}'.format(content_name)).convert('RGB')
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  caption ='a small house with a sheep statue on top of it'
@@ -174,8 +176,8 @@ images = csgo.generate(pil_content_image= content_image, pil_style_image=style_i
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  controlnet_conditioning_scale=0.6,
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  )
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- #text-driven stylized synthesis
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- caption='a cat'
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  images = csgo.generate(pil_content_image= content_image, pil_style_image=style_image,
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  prompt=caption,
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  negative_prompt= "text, watermark, lowres, low quality, worst quality, deformed, glitch, low contrast, noisy, saturation, blurry",
@@ -187,11 +189,14 @@ images = csgo.generate(pil_content_image= content_image, pil_style_image=style_i
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  num_inference_steps=50,
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  seed=42,
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  image=content_image.convert('RGB'),
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- controlnet_conditioning_scale=0.01,
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  )
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- #text editing-driven stylized synthesis
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- caption='a small house'
 
 
 
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  images = csgo.generate(pil_content_image= content_image, pil_style_image=style_image,
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  prompt=caption,
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  negative_prompt= "text, watermark, lowres, low quality, worst quality, deformed, glitch, low contrast, noisy, saturation, blurry",
@@ -203,7 +208,7 @@ images = csgo.generate(pil_content_image= content_image, pil_style_image=style_i
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  num_inference_steps=50,
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  seed=42,
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  image=content_image.convert('RGB'),
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- controlnet_conditioning_scale=0.4,
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  )
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  ```
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  ```python
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  import torch
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+ from ip_adapter.utils import resize_content
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+ import numpy as np
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  from ip_adapter.utils import BLOCKS as BLOCKS
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  from ip_adapter.utils import controlnet_BLOCKS as controlnet_BLOCKS
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  from PIL import Image
 
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  )
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+ style_name = 'img_1.png'
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  content_name = 'img_0.png'
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+ style_image = Image.open("../assets/{}".format(style_name)).convert('RGB')
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  content_image = Image.open('../assets/{}'.format(content_name)).convert('RGB')
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  caption ='a small house with a sheep statue on top of it'
 
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  controlnet_conditioning_scale=0.6,
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  )
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+ #text editing-driven stylized synthesis
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+ caption='a small house'
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  images = csgo.generate(pil_content_image= content_image, pil_style_image=style_image,
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  prompt=caption,
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  negative_prompt= "text, watermark, lowres, low quality, worst quality, deformed, glitch, low contrast, noisy, saturation, blurry",
 
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  num_inference_steps=50,
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  seed=42,
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  image=content_image.convert('RGB'),
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+ controlnet_conditioning_scale=0.4,
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  )
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+ #text-driven stylized synthesis
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+ caption='a cat'
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+ #If the content image still interferes with the generated results, set the content image to an empty image.
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+ # content_image =Image.fromarray(np.zeros((content_image.size[0],content_image.size[1], 3), dtype=np.uint8)).convert('RGB')
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+
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  images = csgo.generate(pil_content_image= content_image, pil_style_image=style_image,
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  prompt=caption,
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  negative_prompt= "text, watermark, lowres, low quality, worst quality, deformed, glitch, low contrast, noisy, saturation, blurry",
 
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  num_inference_steps=50,
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  seed=42,
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  image=content_image.convert('RGB'),
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+ controlnet_conditioning_scale=0.01,
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  )
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  ```
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