Instructions to use rabidgremlin/sd-db-epic-space-machine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rabidgremlin/sd-db-epic-space-machine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rabidgremlin/sd-db-epic-space-machine", 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
This is great however there are WATERMARKS
#1
by Nutronic - opened
That would be the standard stable diffusion training set bleeding through. If you look at https://huggingface.co/rabidgremlin/sd-db-epic-space-machine/tree/main/instance_images you can see that this model was fined-tuned on images with no watermarks and mostly from screenshots of films/3D models.
rabidgremlin changed discussion status to closed
