Boosted_Dalle vs dalle-flow

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Boosted_Dalle		dalle-flow
	Project
1	Mentions	31
1	Stars	2,825
-	Growth	0.1%
0.0	Activity	2.3
almost 2 years ago	Latest Commit	12 months ago
JavaScript	Language	Python
-	License	-

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Boosted_Dalle

Posts with mentions or reviews of Boosted_Dalle. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-02.

Newbie Help: Telegraf telegram bot with async/fetch, media send and async management
3 projects | /r/node | 2 Jul 2022

What caused me most trouble and brought me to simplify all the code into a single http request, is that the original code for the http request (which I took from here) and put it just the web request code in a single method, scrapping the rest.

dalle-flow

Posts with mentions or reviews of dalle-flow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-14.

How to Personalize Stable Diffusion for ALL the Things
2 projects | dev.to | 14 Feb 2023

Jina AI is really into generative AI. It started out with DALL·E Flow, swiftly followed by DiscoArt. And then…🦗🦗*🦗🦗. At least for a while…
image generation API similar to Dall-E or Dall-E 2
1 project | /r/GPT3 | 1 Jan 2023

you can host your own https://github.com/jina-ai/dalle-flow
[hlky’s/sd-webui] Announcing Sygil.dev & Project Nataili
10 projects | /r/StableDiffusion | 25 Oct 2022

For example for all the multimodal stuff like clipseg and upscalers, I'm using isolated executors through jina flow: https://github.com/jina-ai/dalle-flow/tree/main/executors
Who needs prompt2prompt anyway? SD 1.5 inpainting model with clipseg prompt for "hair" and various prompts for different hair colors
5 projects | /r/StableDiffusion | 19 Oct 2022

clipseg is an image segmentation method used to find a mask for an image from a prompt. I implemented it as an executor for dalle-flow and added it to my bot yasd-discord-bot.
Sequential token weighting invented by Birch-san@Github allows you to bypass the 77 token limit and use any amount of tokens you want, also allows you to sequentially alter an image
2 projects | /r/StableDiffusion | 29 Sep 2022

Merged into [dalle-flow](https://github.com/jina-ai/dalle-flow/pull/112) this morning and works on my Discord bot [yasd-discord-bot](https://github.com/AmericanPresidentJimmyCarter/yasd-discord-bot).
I made a discord bot for artsy ML stuff - just finished integrating SD
3 projects | /r/StableDiffusion | 29 Aug 2022

https://github.com/jina-ai/dalle-flow with ports of some code from https://github.com/lstein/stable-diffusion plus some stuff specific to my uses (mostly more exposed settings and meta data on the outputs).
AI generated picture "Beatles at Disneyland"
2 projects | /r/beatles | 12 Aug 2022

dalle flow - a more advanced version of dall-e mini, running dall-e mega and a diffusion model (free colab), free
Comparison of DALL-E, Midjourney, Stable Diffusion and more
1 project | /r/dalle2 | 8 Aug 2022
Running Dall-e mini on Windows? (Or: Are there any equivalent text-to-image AI's I can run on a windows PC with a 2080 TI?)
3 projects | /r/artificial | 27 Jul 2022

Another option is https://github.com/jina-ai/dalle-flow combines DALL-E Mini with some other image processing models, and they have a pre-built Docker image that you could run locally. However, because it loads additional image processing models, you'll need about 21 GB of GPU RAM which is more than a 2080 TI has. You could always try to edit their Dockerfile and re-build it to remove the other models.
Run Your Own DALL·E Mini (Craiyon) Server on EC2
16 projects | dev.to | 26 Jul 2022

For the second half of this article, we’ll use meadowdata/meadowrun-dallemini-demo which contains a notebook for running multiple models as sequential batch jobs to generate images using Meadowrun. The combination of models is inspired by jina-ai/dalle-flow.

What are some alternatives?

When comparing Boosted_Dalle and dalle-flow you can also consider the following projects:

dalle2-in-python - Use DALL·E 2 in Python

dalle-mini - DALL·E Mini - Generate images from a text prompt

bottleneck - Job scheduler and rate limiter, supports Clustering

jina - ☁️ Build multimodal AI applications with cloud-native stack

dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

chaos-tarot - AI Generated Tarot Reading & Card

example-app-store - App store search example, using Jina as backend and Streamlit as frontend

telegraf - Modern Telegram Bot Framework for Node.js

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.