update

tools.html → demo_tools.html

@@ -1,12 +1,10 @@
 <div style="text-align: center;">
-    <p><a href="https://huggingface.co/spaces/Akjava/godot-huggingface-chain">AI Diagram Chat with Voice/Face Character Making Tools</a></p>
-    <p><a href="https://huggingface.co/spaces/Akjava/WebPTalkHead">[WebP-3F-TH]</a> 
+    <p><a href="https://huggingface.co/spaces/Akjava/AIDiagramChatWithVoice-FaceCharacter">AI Diagram Chat with Voice/Face Character Making Tools</a></p>
+    <p><a href="https://huggingface.co/spaces/Akjava/WebPTalkHead">[WebP-3F-TH]</a>
+        <a href="https://huggingface.co/spaces/Akjava/flux1-schnell-img2img">[Flux1-Img2Img(GPU)]</a>  
         <a href="https://huggingface.co/spaces/Akjava/flux1-schnell-mask-inpaint">[Flux1-Inpaint(GPU)]</a> 
         <a href="https://huggingface.co/spaces/Akjava/OpenCVInpaintCPU">[OpenCV-Inapint]</a>
         <a href="https://huggingface.co/spaces/Akjava/Simple-Whitebalance-Image">[Whitebalance]</a>
         <a href="https://huggingface.co/spaces/Akjava/Simple-Mask-Paste-Image">[Paste Image]</a>
-        <a href=" https://huggingface.co/spaces/Akjava/WebP-Resize-Convert">[WebP Resize Convert]</a></p>
-
-       
-        
+        <a href=" https://huggingface.co/spaces/Akjava/WebP-Resize-Convert">[WebP Resize Convert]</a></p> 
 </div>

flux1_inpaint.py

@@ -1,31 +0,0 @@
-import torch
-from diffusers import FluxInpaintPipeline
-
-from PIL import Image
-import sys
-import spaces
-
-# I only test with FLUX.1-schnell
-
-#@spaces.GPU
-def process_image(image,mask_image,prompt="a person",model_id="black-forest-labs/FLUX.1-schnell",strength=0.75,seed=0,num_inference_steps=4):
-    if image == None:
-        return None
-    
-    pipe = FluxInpaintPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16)
-    pipe.to("cuda")
-
-    generators = []
-    generator = torch.Generator("cuda").manual_seed(seed)
-    generators.append(generator)
-    # more parameter see https://huggingface.co/docs/diffusers/api/pipelines/flux#diffusers.FluxInpaintPipeline
-    output = pipe(prompt=prompt, image=image, mask_image=mask_image,generator=generator,strength=strength)
-
-    return output.images[0]
-
-if __name__ == "__main__":
-    #args input-image input-mask output
-    image = Image.open(sys.argv[1])
-    mask  = Image.open(sys.argv[2])
-    output = process_image(image,mask)
-    output.save(sys.argv[3])