Protogen X5.8 Official Release

🚀 Protogen x5.8 (Scifi - Anime) Official Release

Protogen x5.8 is a research model warm - started with Stable Diffusion v1 - 5, rebuilt using dreamlikePhotoRealV2.ckpt as a core, suitable for generating scifi - anime style images.

🚀 Quick Start

Protogen x5.8 is a powerful model for generating scifi - anime style images. You can start using it by following the steps below.

✨ Features

• Warm - started with Stable Diffusion: Built on the foundation of Stable Diffusion v1 - 5.
• Granular Adaptive Learning: Allows the model to adapt to specific patterns or features in the data.
• Multiple Trigger Words: Such as "modelshoot style", "analog style", etc., to generate diverse images.

📦 Installation

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

💻 Usage Examples

Basic Usage

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_v5.8_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")

Advanced Usage

You can adjust the prompt, num_inference_steps, and other parameters according to your specific needs to generate more personalized images.

📚 Documentation

General info

Protogen x5.8 was warm - started with Stable Diffusion v1 - 5 and is rebuilt using dreamlikePhotoRealV2.ckpt as a core, adding small amounts during merge checkpoints.

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.

It can be achieved through techniques such as active learning, reinforcement learning, or online learning. This technique is often used in situations where the data is highly diverse or non - stationary, such as robotics, financial markets, and natural language processing.

Trigger Words

Trigger words include "modelshoot style", "analog style", "mdjrny - v4 style", "nousr robot". Trigger words are available for the hassan1.4 and f222, might have to google them.

Space

We support a Gradio Web UI:

CompVis

CKPT

• Download ProtoGen x5.8.ckpt (7.7GB)
• Download ProtoGen X5.8 - pruned - fp16.ckpt (1.72 GB)

Safetensors

• Download ProtoGen x5.8.safetensors (7.7GB)
• Download ProtoGen x5.8 - pruned - fp16.safetensors (1.72GB)

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.

Checkpoint Merging Data Reference

📄 License

This model is licensed under a modified CreativeML OpenRAIL - M license.

• You are not allowed to host, finetune, or do inference with the model or its derivatives on websites/apps/etc. If you want to, please email us at contact@dreamlike.art.
• You are free to host the model card and files (Without any actual inference or finetuning) on both commercial and non - commercial websites/apps/etc. Please state the full model name (Dreamlike Photoreal 2.0) and include the license as well as a link to the model card (https://huggingface.co/dreamlike - art/dreamlike - photoreal - 2.0).
• You are free to use the outputs (images) of the model for commercial purposes in teams of 10 or less.
• You can't use the model to deliberately produce nor share illegal or harmful outputs or content.
• The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license.
• You may re - distribute the weights. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the modified CreativeML OpenRAIL - M to all your users (please read the license entirely and carefully). Please read the full license here: https://huggingface.co/dreamlike - art/dreamlike - photoreal - 2.0/blob/main/LICENSE.md