wolfgangmeyers

go test ./... -v | grep -c RUN

wolfgangmeyers

java_binary(
    name = "annotation_processors_ide",
    create_executable = False,
    runtime_deps = [
        // annotation processor dependencies here
    ],
)

java_binary(
    name = "project_deps",

wolfgangmeyers

A guide to fine-tune Stable Diffusion on the Vast.ai service

This guide is based on another more comprehensive one that can be found at https://note.com/kohya_ss/n/nbf7ce8d80f29. All of the necessary environment has been encapsulated into a docker image that can easily run on different cloud providers. (disclaimer: there seems to be a version mismatch with xformers, so we leave it off because it won't work)

Note: the docker image used for this exercise is based on Stable Diffusion 1.5 release and has the updated VAEs. By using the model contained in this image or any fine-tuned models derived from it, you agree to terms of use.

1. Make sure you have an account with Vast.ai and some credit.
2. Navigate to https://console.vast.ai/create/ and filter by A100 GPU type (others may work, but probably slower)

wolfgangmeyers

# Adapted from https://github.com/Jack000/glid-3-xl
import clip
import argparse
import PIL
import torch

def rank(args):
    device = torch.device('cuda:0' if (torch.cuda.is_available() and not args.cpu) else 'cpu')
    clip_model, clip_preprocess = clip.load('ViT-L/14', device=device, jit=False)
    clip_model.eval().requires_grad_(False)

wolfgangmeyers

ps aux | grep gunicorn | awk '{print $2}' | xargs kill -9

wolfgangmeyers

0

wolfgangmeyers

# borrowed from https://groups.google.com/forum/#!topic/ansible-project/V1PoNJcXV_w
import ansible.runner
import ansible.playbook
from ansible import callbacks
from ansible import utils

stats = callbacks.AggregateStats()
playbook_cb = callbacks.PlaybookCallbacks(verbose=utils.VERBOSITY)
runner_cb = callbacks.PlaybookRunnerCallbacks(stats, verbose=utils.VERBOSITY)

wolfgangmeyers

package retries

import "time"

// WithRetries will continue to attempt an operation
// up to the specified number of retries with an exponential
// backoff. If the operation is still unsuccessful
// after all retries are exhausted (operation returns an error),
// that error is returned.
func WithRetries(retries int, operation func() error) error {

wolfgangmeyers

Add this snippet to visual studio code as described at https://code.visualstudio.com/docs/editor/userdefinedsnippets

Also see https://gist.github.com/wolfgangmeyers/c7de046903d1fdfcf450440d62779450 for the sublime text version.

wolfgangmeyers

Add this as a snippet as described in http://docs.sublimetext.info/en/latest/extensibility/snippets.html

Also see https://gist.github.com/wolfgangmeyers/b169a86357493329035128856b842e66 for the same snippet in visual studio code.