Comments (1)
Hi, @AGI0102 ! Thank you for your focus. As mentioned in this issue, we use a segmentation mask-based ckpt in our hugging face demo. Thus the generated object shape should be totally aligned with that you given, this would be especially used in some cases such as product exhibition. To generate an object with a shape that is not the same as the mask, please use random mask-based ckpt provided in the Google Drive link. You may read the readme and paper for more information.
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Related Issues (20)
- weight question HOT 5
- remove object HOT 6
- It is recommended to upload the ckpt to HuggingFace, as there are always download failures with Google Drive. HOT 3
- HuggingFace Demo Fails to Load HOT 3
- using with ip adapter HOT 2
- adapt to automatic11111 HOT 4
- Can you provide the code for data preprocessing? HOT 2
- ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE.
- 请问GPU显存需求多少 HOT 1
- cannot import name 'StableDiffusionBrushNetPipeline' from 'diffusers' HOT 1
- when to release checkpoint (sdv1.5)? HOT 1
- Looking forward to SDXL weights HOT 3
- Compare with the 9-channel controlnet-inpainting model HOT 1
- Flexible Control params not support ? HOT 1
- Can this network be trained with SDXL pretrained models? HOT 8
- Random brush model release ? HOT 2
- strength option HOT 1
- mask value problem HOT 1
- Is it possible to guide inpainting using controlnet? HOT 9
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