Comments (20)
+1
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@landmann If you are referring to small changes, than it is most likely due to the encoding/decoding step of the pipeline. We bring the image in a latent space (containing less information than the original image) and after the inpainting we decode it back to an actual image but in this process we are losing some information (the encoder is lossy as mentioned by the authors). This is expected behavior.
Workaround can be found here: huggingface/diffusers#3514 (comment)
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Is there any in-paint configs for SDXL 1.0 (base)?
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A yaml file for SDXL-inpainting is desperately needed.
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I will much appreciate any news about inpainting too!
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+1
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Waiting for the inpainting model for SDXL, too!
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it will be v-prediction and zero terminal SNR, most likely. i think that will come with 1.1.
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when to release the inpainting model? there will be much use of the inpainting model
from generative-models.
Thanks @bghira! Is there a timeline for this? Also, is the SDXL-base model v-prediction too or is that also in the 1.1 release?
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SDXL can already be used for inpainting, see: https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/stable_diffusion_xl#inpainting
To me it seems like they are using the base model for inpainting.
Will there be a fine tuned version like stable-diffusion-2-inpainting?
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Anyone notice inpainting with a mask alters the image the mask says it should not be altering? Is this expected?
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Haha good ol ctrl+c ctrl+v - love it.
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Is it possible to finetune SDXL 1.0 base model for inpainting?
I tried to do that but I get a error from UNET that it expects the input to have 4 channels but it got 9 channels (4 - input image, 4 - masked image, 1 - mask (B/W))
Am I doing anything wrong or should I wait for inpainting model release?
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if you're feeling adventurous you can modify the pix2pix finetuner from Diffusers project.
it already uses 8 channel input.
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+1
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+1 im waiting for inpainting model of SDXL
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SDXL INPAINTING MODEL has been out!
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yes pls !
from generative-models.
new inpaint model
https://huggingface.co/wangqyqq/sd_xl_base_1.0_inpainting_0.1.safetensors/blob/main/sd_xl_base_1.0_inpainting_0.1.safetensors
its also HALF
so 16GB RTX nvidia doesnt work !
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Related Issues (20)
- watermark error HOT 2
- Do you plan to release the Camera Motion LoRA model and code in the future ? HOT 3
- Cannot Run at all HOT 1
- [Stable Video Diffusion] parameters meaning HOT 6
- Training code for the Adversarial Diffusion Distillation(ADD) not available? HOT 2
- How to train Stable Video Diffusion model? HOT 3
- OutOfMemoryError: CUDA out of memory.
- First Stage Decoder Error
- What kind of LLM do you use and what the prompt do you provide to LLM?
- Will the text-to-video model be released? HOT 1
- question of ADD(Adversarial Diffusion Distillation), the inputs of teacher nets HOT 4
- [Stable Video Diffusion] first frame is not equal to initial image HOT 5
- [Stable Video Diffusion] How to increase the motion of the video by adjusting the parameter HOT 1
- train SVD XT HOT 4
- No “test_step()” method defined to run `Trainer.test`. HOT 4
- Request for pure CLI txt2img.py
- [BUG]The use of refiner1.0 in SDXL 1.0 will result in errors(txt2img-images).
- OOM when loading SDXL-turbo
- package versions have conflicting dependencies
- UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd7 in position 373: invalid continuation byte
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