-
Notifications
You must be signed in to change notification settings - Fork 6
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
The generated image is fully black #2
Comments
The VAE is included within the release SD3-Medium file, you don't need it separately. |
I know. I run the code by default setting. But I get an all-black image. Have you run this code and get the right result? |
Dear authors, However, I test the following code on my device and got the right result. So, I think my device environment should be no problem. I think whether the coder or the model weight files have some issues. Could you provide some information to handle my issue? Thank you very much. import torch pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16) image = pipe( |
Dear author,
Thank you for your sharing.
I have deployed your codes on my device. However, I found that the generated image is fully black, i.e., nothing can be seen. I guess that may be the VAE error. Then, I try to download the sd3_vae.safetensor. However, I cannot find the file on the hugging face website. Could you provide sd3_vae.safetensor?
The text was updated successfully, but these errors were encountered: