neoanthropocene
Created by Astroboy, originally uploaded to HuggingFace
This model trained based on Stable Diffusion 1.5 model to create isometric cities, venues, etc more precisely. Trained isometric city model merged with SD 1.5 with Automatic1111's checkpoint merger tool (Couldn't remember exactly the merging ratio and the interpolation method)
Use "an illustration of an isometric city, digital art, highly detailed" in your prompts.
Intended uses & limitations
Do not use for commercial purposes.
Training procedure
Trained on a WSL2 Ubuntu machine with DreamBooth.
Training hyperparameters
The following hyperparameters were used during training: --with_prior_preservation --prior_loss_weight=1.0
--instance_prompt="an illustration of an isometric city, digital art, highly detailed"
--class_prompt="isometric city"
--resolution=512
--train_batch_size=1
--mixed_precision="fp16"
--gradient_accumulation_steps=1 --gradient_checkpointing
--use_8bit_adam
--learning_rate=5e-6
--lr_scheduler="constant"
--lr_warmup_steps=0
--num_class_images=50
--max_train_steps=1500
What is Isometric Cities?
Isometric Cities is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user neoanthropocene. Derived from the powerful Stable Diffusion (SD 1.5) model, Isometric Cities has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Isometric Cities is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as landscapes, city, style.
With a rating of 0 and over 0 ratings, Isometric Cities is a popular choice among users for generating high-quality images from text prompts.
Can I download Isometric Cities?
Yes! You can download the latest version of Isometric Cities from here.
How to use Isometric Cities?
To use Isometric Cities, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Isometric Cities, check out our crash course in AI image generation.
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Latest version (v1): 1 File
1 Version
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