Spaces:
Running
on
Zero
Running
on
Zero
add condition
Browse files- app.py +1 -1
- flux1_inpaint.py +4 -3
app.py
CHANGED
|
@@ -61,7 +61,7 @@ with demo_blocks as demo:
|
|
| 61 |
gr.HTML(read_file("demo_header.html"))
|
| 62 |
with gr.Row():
|
| 63 |
with gr.Column():
|
| 64 |
-
image = gr.ImageEditor(height=1000,sources=['upload','clipboard'],transforms=[],image_mode='RGB', layers=False, elem_id="image_upload", type="pil", label="Upload",brush=gr.Brush(colors=["#
|
| 65 |
with gr.Row(elem_id="prompt-container", equal_height=False):
|
| 66 |
with gr.Row():
|
| 67 |
prompt = gr.Textbox(label="Prompt",value="a eyes closed girl,shut eyes",placeholder="Your prompt (what you want in place of what is erased)", elem_id="prompt")
|
|
|
|
| 61 |
gr.HTML(read_file("demo_header.html"))
|
| 62 |
with gr.Row():
|
| 63 |
with gr.Column():
|
| 64 |
+
image = gr.ImageEditor(height=1000,sources=['upload','clipboard'],transforms=[],image_mode='RGB', layers=False, elem_id="image_upload", type="pil", label="Upload",brush=gr.Brush(colors=["#fff"], color_mode="fixed"))
|
| 65 |
with gr.Row(elem_id="prompt-container", equal_height=False):
|
| 66 |
with gr.Row():
|
| 67 |
prompt = gr.Textbox(label="Prompt",value="a eyes closed girl,shut eyes",placeholder="Your prompt (what you want in place of what is erased)", elem_id="prompt")
|
flux1_inpaint.py
CHANGED
|
@@ -36,12 +36,13 @@ def make_inpaint_condition(image, image_mask):
|
|
| 36 |
def process_image(image,mask_image,prompt="a girl",negative_prompt="",model_id="black-forest-labs/FLUX.1-schnell",strength=0.75,seed=0,num_inference_steps=4):
|
| 37 |
|
| 38 |
|
| 39 |
-
|
| 40 |
-
#control_image=make_inpaint_condition(image,mask_image)
|
| 41 |
-
#image.save("_control.jpg")
|
| 42 |
if image == None:
|
| 43 |
return None
|
| 44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
pipe = FluxInpaintPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16)
|
| 46 |
pipe.to(device)
|
| 47 |
#batch_size =1
|
|
|
|
| 36 |
def process_image(image,mask_image,prompt="a girl",negative_prompt="",model_id="black-forest-labs/FLUX.1-schnell",strength=0.75,seed=0,num_inference_steps=4):
|
| 37 |
|
| 38 |
|
|
|
|
|
|
|
|
|
|
| 39 |
if image == None:
|
| 40 |
return None
|
| 41 |
|
| 42 |
+
control_image=make_inpaint_condition(image,mask_image)
|
| 43 |
+
#image.save("_control.jpg")
|
| 44 |
+
image = control_image
|
| 45 |
+
|
| 46 |
pipe = FluxInpaintPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16)
|
| 47 |
pipe.to(device)
|
| 48 |
#batch_size =1
|