IF
hate-speech-project
| IF | hate-speech-project | |
|---|---|---|
| 43 | 1 | |
| 7,522 | 6 | |
| 0.8% | - | |
| 4.2 | 10.0 | |
| about 1 month ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | - |
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IF
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Google Imagen 2
Stability AI has gaps in SDXL for text, but they seem to do a better job with Deep Floyd ( https://github.com/deep-floyd/IF ). I have done a lot of interesting text things with Deep Floyd
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SDXL Release Date: July 18th
They made https://github.com/deep-floyd/IF IF model which has a stronger understanding of text.
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Which model is good with image + text generation?
https://github.com/deep-floyd/IF It's a bit difficult to install right now, I can't install it on my card unfortunately. They had a huggingface space you could play with it but it seems offline right now. Hopefully it'll be incorporated into Auto1111 eventually.
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Best AI for generating media covers (mixture of imagery and text)
I'm pretty sure this is the best open model for image + text: https://github.com/deep-floyd/IF
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Stability AI Launches Stable Diffusion XL 0.9
Text will be better due to simple scale, but the text will still be limited due to the use of a CLIP for text encoding (BPEs+contrastive). So that may be SD XL 0.9 but it should still be worse due to not using T5 like https://github.com/deep-floyd/IF
- Comparing Adobe Firefly, Dalle-2, and OpenJourney
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Model that can do text?
Ate you thinking of DeepFloyd IF? https://github.com/deep-floyd/IF
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SDXL beta test: prompt is Star Trek in the style of Dr. Seuss
Or maybe people are conflating it with Deep Floyd, another SAI model: https://github.com/deep-floyd/IF
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The stairwell in this hotel goes straight forward (13 floors) instead of wrapping around.
Deep Floyd IF does text really well and is out. https://github.com/deep-floyd/IF
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Google “We Have No Moat, and Neither Does OpenAI”
use https://github.com/deep-floyd/IF, it uses LLM to generate exact art you need.
hate-speech-project
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Replit's new Code LLM was trained in 1 week
My favorite line from the HumanEval paper
> It is important for these tasks to be hand-written, since our models are trained on a large fraction of GitHub, which already contains solutions to problems from a variety of sources.
So to answer your question, yes, the evaluation dataset is spoiled. You can find such unique and never before seen docstrings like
> For a given list of input numbers calculate the Mean Absolute Deviation around the mean of this dataset. Mean Absolute Deviation is the absolute difference between each element and a centerpoint (mean in this case)[0]
And here's a repo I found that is 8 years old[1]. But how about a more recent one that is even closer?[2] There's plenty more examples[3] (does anyone know how actually limit the date to prior to 2021? `pushed:<2021` doesn't work nor does using the `created` keyword. Date searching doesn't seem to work well).
[0] https://github.com/openai/code-align-evals-data/blob/97446d9...
[1] https://github.com/bertomartin/stat4701/blob/ec2b64f629cbbf6...
[2] https://github.com/danielwatson6/hate-speech-project/blob/64...
[3] https://github.com/search?q=abs%28x+-+mean%29+for+language%3...
What are some alternatives?
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
ReplitLM - Inference code and configs for the ReplitLM model family
stat4701 - Final Project
code-align-evals-data
mation-spec
trax - Trax — Deep Learning with Clear Code and Speed
DeepFloyd-IF-colab
magma-chat - Ruby on Rails 7-based ChatGPT Bot Platform
easydiffusion - Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.