Update evo_nishikie_v1.py

#2
by yuki-imajuku - opened
Files changed (4) hide show
  1. .gitattributes +0 -1
  2. README.md +7 -22
  3. requirements.txt +1 -0
  4. test.jpg +0 -3
.gitattributes CHANGED
@@ -33,4 +33,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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- test.jpg filter=lfs diff=lfs merge=lfs -text
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
README.md CHANGED
@@ -33,36 +33,21 @@ Use the code below to get started with the model.
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  ```
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  git clone https://huggingface.co/SakanaAI/Evo-Nishikie-v1
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  ```
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- 2. Install git-lfs if you don't have it yet.
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- ```
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- sudo apt install git-lfs
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- git lfs install
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- ```
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- 3. Create conda env
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- ```
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- conda create -n evo-nishikie python=3.11
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- conda activate evo-nishikie
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- ```
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- 4. Install packages
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  ```
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  cd Evo-Nishikie-v1
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  pip install -r requirements.txt
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  ```
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- 5. Run
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  ```python
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- import torch
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  from io import BytesIO
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  from PIL import Image
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  import requests
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  from evo_nishikie_v1 import load_evo_nishikie
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- #Get image from URL
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- #url = "https://huggingface.co/spaces/SakanaAI/Evo-Nishikie/resolve/main/sample2.jpg"
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- #original_image = Image.open(BytesIO(requests.get(url).content))
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-
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- #Use local image
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- original_image = Image.open('test.jpg')
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-
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  # Generate
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  device = "cuda"
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  pipe, processor = load_evo_nishikie(device)
@@ -72,12 +57,12 @@ Use the code below to get started with the model.
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  image=processor(original_image),
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  guidance_scale=7.0,
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  controlnet_conditioning_scale=0.8,
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- num_inference_steps=35,
 
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  num_images_per_prompt=1,
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  output_type="pil",
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  ).images
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  images[0].save("out.png")
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-
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  ```
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  </details>
 
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  ```
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  git clone https://huggingface.co/SakanaAI/Evo-Nishikie-v1
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  ```
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+ 2. Install packages
 
 
 
 
 
 
 
 
 
 
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  ```
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  cd Evo-Nishikie-v1
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  pip install -r requirements.txt
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  ```
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+ 3. Run
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  ```python
 
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  from io import BytesIO
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  from PIL import Image
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  import requests
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  from evo_nishikie_v1 import load_evo_nishikie
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+ url = "https://huggingface.co/spaces/SakanaAI/Evo-Nishikie/resolve/main/sample2.jpg"
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+ original_image = Image.open(BytesIO(requests.get(url).content))
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+
 
 
 
 
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  # Generate
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  device = "cuda"
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  pipe, processor = load_evo_nishikie(device)
 
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  image=processor(original_image),
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  guidance_scale=7.0,
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  controlnet_conditioning_scale=0.8,
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+ num_inference_steps=50,
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+ generator=torch.Generator(device).manual_seed(0),
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  num_images_per_prompt=1,
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  output_type="pil",
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  ).images
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  images[0].save("out.png")
 
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  ```
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  </details>
requirements.txt CHANGED
@@ -4,6 +4,7 @@ torchvision
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  accelerate==0.32.0
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  controlnet-aux==0.0.9
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  diffusers==0.29.2
 
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  sentencepiece==0.2.0
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  transformers==4.42.3
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  peft==0.11.1
 
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  accelerate==0.32.0
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  controlnet-aux==0.0.9
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  diffusers==0.29.2
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+ gradio==4.38.1
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  sentencepiece==0.2.0
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  transformers==4.42.3
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  peft==0.11.1
test.jpg DELETED

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