Instructions to use sd-dreambooth-library/nasa-space-v2-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/nasa-space-v2-768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/nasa-space-v2-768", dtype=torch.bfloat16, device_map="cuda") prompt = "Nasa style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/nasa-space-v2-768", dtype=torch.bfloat16, device_map="cuda")
prompt = "Nasa style"
image = pipe(prompt).images[0]Nasa-space-V2-768 Dreambooth model trained by Fireman4740 with Hugging Face Dreambooth Training Space with the v2-768 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
Sample pictures of:
- Downloads last month
- 3























