Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use wavymulder/Analog-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wavymulder/Analog-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("wavymulder/Analog-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
- Draw Things
- DiffusionBee
Update for 2.x
#19
by aolko - opened
Are you going to update your model to 2.x for newer stable diffusion?
Not currently in the works, but anything could happen in the future.
But, do you really mind me (or someone else) doing it (given the training dataset)?
No, I will not be providing the dataset.
wavymulder changed discussion status to closed
Thanks @wavymulder for your excellently tuned work.