Comments (2)
FeiiYin
commented on May 6, 2024
Same, my reconstruction code is as below:
images, x_t = text2image_ldm_stable(ldm_stable, prompts, controller, latent=x_t, num_inference_steps=NUM_DDIM_STEPS, guidance_scale=1.0, generator=None, uncond_embeddings=None)
pil_img = ptp_utils.view_images(images)
from prompt-to-prompt.
FeiiYin
commented on May 6, 2024
DDIM inversion works well when the guidance scale is 1
But editing won‘t work
When the guidance scale is 7.5 DDIM inversion will fail
from prompt-to-prompt.
Related Issues (20)
- Where is the code that visualizes by time step? HOT 1
- Can't load a fine-tuned model due to using an old version of diffusers
- On the non-convergence of null text
- Is training code available? HOT 1
- Does it support SDXL? HOT 2
- When I use Diffusers==0.21.0, p2p seems to generate the same as w/o p2p. Code needs to be upgraded.
- bad results when changing the clothes's color HOT 1
- code for user-defined mask HOT 3
- Can Null text inversion apply to Stable diffusion 2.1? HOT 1
- If I want to add null text inversion to the training process to maintain the feature of the edited image, how can I achieve this?
- code about Delta Denoising Score
- Can we give image as input? HOT 1
- wrong DDIM inversion step HOT 1
- The setting of DDIMScheduler.
- Why the image in the article is so nice and true-life however I get low-grade images on myself？
- null text inversion sdxl support require HOT 2
- DDS_zeroshot.ipynb - sds loss derivation HOT 2
- how to run! who can give me a detail environment requirement, such as the version of diffusers and transformer? HOT 1
- visualizing self attention map HOT 1
- Error introduced when using p2p pipeline comparing to null-text inversion HOT 1
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