Comments (2)
Yeah, it's not designed to do low resolutions β don't do that if you don't want bad images. π
from generative-models.
Yes, I don't think you should go below 768 resolution with SD-XL.
Edit: Actually, the minimal value in the demo is 576.
generative-models/scripts/demo/sampling.py
Lines 7 to 34 in 45c443b
from generative-models.
Related Issues (20)
- [Stable Video Diffusion] How to increase the motion of the video by adjusting the parameter HOT 1
- train SVD XT HOT 4
- No βtest_step()β 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
- much higher COCO fid_5k score than ADD paper
- omegaconf.errors.ConfigAttributeError: Missing key sampler_config
- Where is the downloaded model stored? HOT 1
- Blank
- r
- [Question] SVD/SVD-XT performance on older GPU (i.e. without Triton support) HOT 1
- [BUG]The following bugs have appeared in 'img2img' HOT 1
- Video-to-Video Translation via Stable-Video-Diffusion?
- [Feature] Stable Video Diffusion Training Code HOT 1
- Sampling with EulerEDMSampler for 31 steps: 0%| HOT 2
- Positional encoding for time for temporal attention layers in SVD HOT 1
- any webui for the great project ?
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