Dreambooth Diffusion Minecraft Open-Source Model - Freely Generate Ultra-Realistic Minecraft-Style Landscape Images

Dreambooth Diffusion Minercraft

Developed by keras-dreambooth

This is a diffusion model fine-tuned based on Minecraft concepts, specializing in generating Minecraft-style landscape images.

Image Generation Open Source License:Openrail #Minecraft-style generation #Text-driven image synthesis #Stable Diffusion fine-tuning

Downloads 20

Release Time : 3/12/2023

Model Overview

The model has been fine-tuned using DreamBooth technology on landscape images from the Minecraft world, capable of generating images with a specific style labeled as 'mrf style'.

Model Features

Minecraft-style generation

Specially fine-tuned for landscape images in the Minecraft world, capable of generating unique 'mrf style' images.

DreamBooth fine-tuning

Uses DreamBooth technology to fine-tune the model, enabling it to capture the stylistic features of specific concepts.

High-quality image generation

Capable of generating high-quality images at 512x512 resolution, suitable for creative design and artistic creation.

Model Capabilities

Text-to-image generation

Stylized image generation

Minecraft-themed image creation

Use Cases

Creative design

Minecraft-style landscape creation

Generate landscape images with a Minecraft style, such as 'a fishing village under cherry blossoms at sunset'.

Produces high-quality images that meet the prompt requirements, featuring the unique 'mrf style'.

Game concept design

Provide Minecraft-style concept art and scene design for game development.

Quickly generates diverse game scene concept images.

🚀 tf-keras

This is a fine - tuned model for text - to - image generation, focusing on the Minecraft landscape in "mrf style". It enables users to generate unique landscape images based on specific prompts.

🚀 Quick Start

This model is designed for text - to - image generation. You can use it by providing specific prompts. For example, use the concept token "mrf style" like "a photo of landscape in mrf style" to generate relevant images.

✨ Features

Fine - tuned for Minecraft: The model has been fine - tuned to learn the concept of Minecraft, especially the landscape in the Minecraft world.
Concept Token: Utilize the "mrf style" concept token to generate images with a specific style.

📚 Documentation

Model description

This model has been fine - tuned to learn the concept of Minecraft by ChienVM on this [dataset](https://huggingface.co/datasets/keras - dreambooth/minercraft)

Intended uses & limitations

Concept token "mrf style". Example: "a photo of landscape in mrf style". This model only finetunes with the landscape image in Minecraft world. Therefore, it can not generate good images with other concepts.

Some examples prompt

Sample 1 — Prompt: a fishing village under a cherry blossom forest at sunset in mrf style. Negative prompt: bad anatomy, soft blurry. Steps: 50, CFG scale: 7.5, Size: 512x12

Sample 2 — Prompt: a photo of landscape in mrf style. Negative prompt: bad anatomy, soft blurry. Steps: 50, CFG scale: 7.5, Size: 512x12

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Property	Details
inner_optimizer.class_name	Custom>RMSprop
inner_optimizer.config.name	RMSprop
inner_optimizer.config.weight_decay	None
inner_optimizer.config.clipnorm	None
inner_optimizer.config.global_clipnorm	None
inner_optimizer.config.clipvalue	None
inner_optimizer.config.use_ema	False
inner_optimizer.config.ema_momentum	0.99
inner_optimizer.config.ema_overwrite_frequency	100
inner_optimizer.config.jit_compile	True
inner_optimizer.config.is_legacy_optimizer	False
inner_optimizer.config.learning_rate	0.0010000000474974513
inner_optimizer.config.rho	0.9
inner_optimizer.config.momentum	0.0
inner_optimizer.config.epsilon	1e - 07
inner_optimizer.config.centered	False
dynamic	True
initial_scale	32768.0
dynamic_growth_steps	2000
training_precision	mixed_float16

📄 License

This model is under the creativeml - openrail - m license.

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