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.gitattributes

@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+examples/draw_input.jpg filter=lfs diff=lfs merge=lfs -text
+examples/draw_output.jpg filter=lfs diff=lfs merge=lfs -text
+examples/draw-gimp_input.jpg filter=lfs diff=lfs merge=lfs -text
+examples/draw-gimp_output.jpg filter=lfs diff=lfs merge=lfs -text
+examples/gimp_input.jpg filter=lfs diff=lfs merge=lfs -text
+examples/gimp_output.jpg filter=lfs diff=lfs merge=lfs -text
+examples/inpaint_input.jpg filter=lfs diff=lfs merge=lfs -text
+examples/inpaint_output.jpg filter=lfs diff=lfs merge=lfs -text

demo_footer.html

@@ -0,0 +1,3 @@
+<div>
+    <P> Images are generated with <a href="https://huggingface.co/black-forest-labs/FLUX.1-schnell">FLUX.1-schnell</a> and licensed under <a href="http://www.apache.org/licenses/LICENSE-2.0">the Apache 2.0 License</a>
+</div>

demo_header.html

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+<div style="text-align: center;">
+    <h1>
+        Flux.1-schnell img2img
+    </h1>
+    <div class="grid-container">
+        <img src="https://akjava.github.io/AIDiagramChatWithVoice-FaceCharacter/webp/128/00349245_09_00002200.webp" alt="Flux.1-schnell-WebP3Frame-TalkingAnimation" class="image">
+        <p class="text">
+        Img2Img has much potential <a href="https://huggingface.co/spaces/Akjava/CreateConsistentCharacterFacialAnimationWithImg2Img" target="_blank">Create Consistent Character Facial Animation with Img2Img</a><br>        Simple Classic Inapint result are good.but plain drawing is not so good,You can get best result with Gimp's Smudge Tool<br>
+        Img2img is good for scale-up too ,the result is more better with Gimp's sharpen<br>
+        Basically output face is totally difference,scale up to image to reduce that<br>
+        Usually result color strange,use Whitebalance tools or gimp<br>
+        you can clear face coverd hand with img2img + inpaint
+        </p>
+    </div>
+</div>
+

demo_tools.html

@@ -0,0 +1,10 @@
+<div style="text-align: center;">
+    <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> 
+</div>

flux1_img2img.py

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+import torch
+from diffusers import FluxImg2ImgPipeline
+
+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):
+    print("start process image process_image")
+    if image == None:
+        print("empty input image returned")
+        return None
+    
+    pipe = FluxImg2ImgPipeline.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
+    print(prompt)
+    output = pipe(prompt=prompt, image=image,generator=generator,strength=strength
+                  ,guidance_scale=0,num_inference_steps=num_inference_steps,max_sequence_length=256)
+
+    # TODO support mask
+    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])