Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/Cetus-Mix-Codaedition_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/Cetus-Mix-Codaedition_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/Cetus-Mix-Codaedition_diffusers", 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
Commit History
-
Delete scheduler
Verified signature5fa5efb -
Delete safety_checker
Verified signature0537ecf -
Delete feature_extractor
Verified signature20e6dbc -
file
Verified signature635a8ce
-
Update text_encoder/config.json
Verified signature3cda86f -
file
Verified signature603d4e6 -
Update README.md
Verified signaturebf67abb -
Update model_index.json
Verified signature1224ea5 -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (beb2fb50fca1305891eeac5038ca1e412ba8922e)e65901e -
file
Verified signaturefb394f0 -
Create README.md
Verified signature4ab576b -
initial commit
Verified signaturee6b6257