Is there a way to get it to run on an an Intel-based Mac? I've attempted several times, but quickly ran into dependency issues and other quirks.
For comparison, my RTX 2070 takes 10 seconds for one image (512x512)
41–50 of 415 posts
Is there a way to get it to run on an an Intel-based Mac? I've attempted several times, but quickly ran into dependency issues and other quirks.
For comparison, my RTX 2070 takes 10 seconds for one image (512x512)
Are we being pranked? I just followed the steps but the image output from my prompt is just a single frame of Rick Astley... EDIT: It was a false-positive (honest!) on the NSFW filter. To disable it, edit txt2img.py around line 325. Comment this line out: x_checked_image, has_nsfw_concept = check_safety(x_samples_ddim) And replace it with: x_checked_image = x_samples_ddim
That means the NSFW filter kicked in IIRC from reading the code. Change your prompt, or remove the filter from the code.
For those as keen as I am to try this out, I ran these steps, only to run into an error during the pip install phase: > ERROR: Failed building wheel for onnx I was able to resolve it by doing this: > brew install protobuf Then I ran pip install again, and it worked!
Is there a way to get it to run on an an Intel-based Mac? I've attempted several times, but quickly ran into dependency issues and other quirks.
I believe the branch which adds support for Apple Silicon also adds support for running on Intel chips (albeit extremely slowly). I haven't tested it myself, but I've seen several people in the GitHub issues saying this.
Earlier quoted context omitted.
That means the NSFW filter kicked in IIRC from reading the code. Change your prompt, or remove the filter from the code.
Haha, busted!
If you tweak the prompt to explicitly mention clothing, you should be OK though.
Note: I ran this and haven't yet been able to get img2img working yet. I borked it up trying to get conda working. It's been a lot of fun to play with so far though!
Apparently, this release should include a Dockerfile for easier replicability.