Model reference · open weights

Protogen_x3.4_Official_Release

Available as managed deployment Image darkstorm2150 · community Text→image 1 variants 835 dl/mo

Protogen_x3.4_Official_Release is an open-weight image model from darkstorm2150. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released bydarkstorm2150
TypeImage models
TaskText→image
Runs withdiffusers
Released2023-01-02
Popularity835 downloads / month
LicenceOpen weights

About

What Protogen_x3.4_Official_Release is

Table of contents

General info

Protogen x3.4

Protogen was warm-started with Stable Diffusion v1-5 and fine-tuned on various high quality image datasets. Version 3.4 continued training from ProtoGen v2.2 with added photorealism.

Read the full model card

Granular Adaptive Learning

Granular adaptive learning is a machine learning technique that focuses on adjusting the learning process at a fine-grained level, rather than making global adjustments to the model. This approach allows the model to adapt to specific patterns or features in the data, rather than making assumptions based on general trends.

Granular adaptive learning can be achieved through techniques such as active learning, which allows the model to select the data it wants to learn from, or through the use of reinforcement learning, where the model receives feedback on its performance and adapts based on that feedback. It can also be achieved through techniques such as online learning where the model adjust itself as it receives more data.

Granular adaptive learning is often used in situations where the data is highly diverse or non-stationary and where the model needs to adapt quickly to changing patterns. This is often the case in dynamic environments such as robotics, financial markets, and natural language processing.

Trigger Words

modelshoot style, analog style, mdjrny-v4 style, nousr robot

Trigger words are available for the hassan1.4 and f222, might have to google them :)

Setup

To run this model, download the model.ckpt or model.safetensor and install it in your "stable-diffusion-webui\models\Stable-diffusion" directory

Space

We support a Gradio Web UI:

CompVis

CKPT

Download ProtoGen x3.4.ckpt (5.98GB)

Download ProtoGen X3.4-pruned-fp16.ckpt (1.89 GB)

Safetensors

Download ProtoGen x3.4.safetensors (5.98GB)

Download ProtoGen x3.4-pruned-fp16.safetensors (1.89GB)

🧨 Diffusers

This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion Pipeline.

from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import torch

prompt = (
"modelshoot style, (extremely detailed CG unity 8k wallpaper), full shot body photo of the most beautiful artwork in the world, "
"english medieval witch, black silk vale, pale skin, black silk robe, black cat, necromancy magic, medieval era, "
"photorealistic painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, "
"trending on CGSociety, Intricate, High Detail, Sharp focus, dramatic, photorealistic painting art by midjourney and greg rutkowski"
)

model_id = "darkstorm2150/Protogen_x3.4_Official_Release"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
pipe = pipe.to("cuda")

image = pipe(prompt, num_inference_steps=25).images[0]

image.save("./result.jpg")

PENDING DATA FOR MERGE, RPGv2 not accounted..

Checkpoint Merging Data Reference

.myTable { border-collapse:collapse; } .myTable th { background-color:#663380; color:white; } .myTable td, .myTable th { padding:5px; border:1px solid #663380; }

License

By downloading you agree to the terms of these licenses

From the published model card. Full card on the HuggingFace links in the sidebar.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys protogen-x3-4-official-release for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (protogen-x3-4-official-release below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"protogen-x3-4-official-release","prompt":"a red bicycle","size":"1024x1024"}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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