Bill McKessy

I'm still seeing this.

uses quantized scales

```python import sys from transformers import CLIPTokenizer from flask import Flask, request, jsonify tokenizer = CLIPTokenizer.from_pretrained("openai/clip-vit-large-patch14") app = Flask(__name__) @app.route('/token-api/count/', methods=['POST']) def add_message(): content = request.json prompt = content['term'] return...

With this change I am now able to train cartoon styles. I have trained >300 successful models and my cartoon attempts always exploded. We also need to change the default...

Indeed, we need to calculate the effective steps so people can understand the relationship between all of the parameters. The scheduling system could also support percentages ex. `5e-3:20%, 1e-3:40%, 1e-4:100%`...

Would you like some help removing this behavior altogether or are we stuck with attributes being packed into the bits of the `gid`? I'm writing a tmx parser and I...

This is by design? Two sources of truth for flip properties? One set stored as an attribute in human readable form, and one set hidden in the MSB of an...