Closed sunhaozhepy closed 10 months ago
This pipeline is a img2img+ControlNet pipeline.
We have a parameter strength
for img2img control.
output_frames = pipe(
"a beautiful woman in CG style, best quality, extremely detailed",
frames,
control_frames,
num_inference_steps=20,
strength=0.75,
controlnet_conditioning_scale=0.7,
generator=generator,
warp_start=0.0,
warp_end=0.1,
mask_start=0.5,
mask_end=0.8,
mask_strength=0.5,
negative_prompt='longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality'
).frames
You can find the document here
Ah OK I misunderstood, thanks!
I've seen the re-implementation of your project in Diffusers, good work! However, I'm interested in knowing whether your pipeline could be applied in the img2img setting (by this I mean I want to preserve some detail in the original image, like the img2img+ControlNet pipeline that Diffusers provide), and it seems that the current pipeline is limited to a txt2img-like setting.
Do you have any idea how this could be done? Thank you very much in advance!