Instructions to use joachimsallstrom/Double-Exposure-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joachimsallstrom/Double-Exposure-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("joachimsallstrom/Double-Exposure-Diffusion", 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
Train with my face
Hi,
Beautiful model.
Do you know if there is any way to train this model with your own face?
@AliciaA Hi! Thanks 🙂
If you’re using Automatic1111 you can always merge this model with a model you’ve trained on your face before.
Ok done, but I don't know how to merge my trained model and this model.
When I run Automatic1111, I have to choose between my trained model or the double exposure model.
I can't generate images like the double exposure model but using my face.
It also doesn't work using imgtoimg , neither does it work with inpaint.
I just started and I really don't know how to do it.
@AliciaA Sorry, this goes a bit beyond the purpose of the community page for this model. I endorse you to connect with the Discord group for Stable Diffusion where you can get help with setting up Automatic1111. Good luck!
@AliciaA Feel free to contact me on discord though. When I have time over I might be able to help you partly at least. joachim#4676