Instructions to use Falah/spacemidj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/spacemidj with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Falah/spacemidj", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
spacemidj Dreambooth model trained by Falah
spacemidj Diffusion is a general-purpose model based on Stable Diffusion 1.x intended to replace the official SD releases as your default model. It is focused on providing high-quality output in a wide range of midjourney style in space and galaxy style output images in high resolution
Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept:
examples prompts ="war in the space "" or another prompt "spacecraft in the space with spacemidj style "
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),stars,((sky)),spacemidj_style.png)

),((galaxy)),spacemidj_style.png)

),((galaxy)),spacemidj_style.png)


