Instructions to use sd-dreambooth-library/Origtron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/Origtron 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/Origtron", 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
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/Origtron", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Update: 5th May 2023, Uploaded .safetensors version.
Model trained in the Shivam Shrirao google colab, dreambooth. It was made with various screen captures I took from videos of TRON from 1982. The original trailer and 2 long movie clips.
Download the origtron.ckpt file to: stable-diffusion-webui\models\Stable-diffusion once it's downloaded just use the prompt origtron and you'll get some great results.
The file size is 2.3gb.
Images I created
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