Instructions to use nitrosocke/redshift-diffusion-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/redshift-diffusion-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("nitrosocke/redshift-diffusion-768", 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
Adding `safetensors` variant of this model
#13 opened 11 months ago
by
SFconvertbot
Add `scale_factor` to vae config.
#12 opened over 3 years ago
by
valhalla
Will the new version ever come out on Replicate?
1
#11 opened over 3 years ago
by
Cavatappi
Training method used for training sd2 model to make this model and related model on your hub
1
#10 opened over 3 years ago
by
Ambesh
This is a miracle
6
#9 opened over 3 years ago
by
ju-popov
How did you successfully train and use this model?
#7 opened over 3 years ago
by
adamgman
About redshift Model Training
#3 opened over 3 years ago
by
AxonAxis