Comments (2)
Hi,
Thank you for your interest in our work. We are in the process of finalizing the refinement implementation and will release it soon. We appreciate your patience.
In the meantime, you can also refer to this repo: DiffSketch, which implements image-to-image translation with SD features in the similar style of our refinement process. Specifically, you can start with either pnp_sketch.py or pnp_sketch.ipynb and take the preliminary swapped image as input. Plus, you may also need to modify the prompt in pnp_refine_all.yaml to "a photo of a {category_of_instance}, realistic, high resolution, high quality"
.
I hope this guidance assists you.
Best regards.
from sd-dino.
Hi,
Thank you for your interest in our work. We are in the process of finalizing the refinement implementation and will release it soon. We appreciate your patience.
In the meantime, you can also refer to this repo: DiffSketch, which implements image-to-image translation with SD features in the similar style of our refinement process. Specifically, you can start with either pnp_sketch.py or pnp_sketch.ipynb and take the preliminary swapped image as input. Plus, you may also need to modify the prompt in pnp_refine_all.yaml to
"a photo of a {category_of_instance}, realistic, high resolution, high quality"
.I hope this guidance assists you.
Best regards.
Thanks for your reply
from sd-dino.
Related Issues (16)
- get_mask cannot return valid mask HOT 3
- Collab Demo HOT 1
- Code for PCA HOT 3
- how to fix the issue of 'RuntimeError: Panoptic/odise_label_coco_50e.py not available in Model Zoo!' HOT 7
- cannot `get_mask` when I vary the cuda device HOT 3
- ValueError: a must be greater than 0 unless no samples are taken HOT 5
- AttributeError: module 'keras.backend' has no attribute 'is_tensor' HOT 3
- Details about how to extract sd features HOT 1
- Questions about sd features HOT 2
- Installation issues for Mask Former HOT 2
- Result different from demo_vis_features.ipynb HOT 4
- License? HOT 1
- The image size for extracting the Dinov2-pretrained-model HOT 2
- Establish environment HOT 3
- Model parameter mismatch HOT 2
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