Instructions to use moonlightnexus/RealityCreation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use moonlightnexus/RealityCreation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("moonlightnexus/RealityCreation", 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 Settings
- Draw Things
- DiffusionBee
Training-on-Real-Forest-dataset
#1
by moonlightnexus - opened
As of now the forests generated are completely unrealistic and looks like painting it should be trained on additional dataset containing images of real forest
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