Text-to-Image
Diffusers
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
anime
Instructions to use Lykon/DreamShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lykon/DreamShaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/DreamShaper", 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
Hi, had a question about using your model using Diffusers.
#31
by amanjain1397appy - opened
Suppose I use this code to use your model
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("Lykon/DreamShaper")
Will this pick the latest model weights that you have uploaded? In this case the DreamShaper v5 version.
it will pick v4 now, since I have yet to upload v5 diffusers.
I have just converted the model. I'm about to upload it anyway :)
done
Lykon changed discussion status to closed
Thanks so much for clarifying this issue. Been a big fan of the model since the v3 release. Keep up the good work!
thanks!