Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/AingDiffusion8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/AingDiffusion8 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/AingDiffusion8", 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
-
Rename tokenizer/added_tokens.json to tokenizer/_added_tokens.json
33bdd6d -
Update model_index.json
97c4264 -
Update README.md
1d48e4e -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (ed60c7e5bd7cd290cc0caaf6d63a94cd49689c59)ddbec91
-
file
4366177 -
Update README.md
9b5b8c8 -
initial commit
213fe48