Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/asyncsMIX_v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/asyncsMIX_v5 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/asyncsMIX_v5", 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
-
Update README.md
c8af531 -
Update model_index.json
67cb9f5 -
Update README.md
fa3b34c -
Update model_index.json
a8647b5 -
Rename tokenizer/added_tokens.json to tokenizer/_added_tokens.json
4a15ce8 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (30eca4cab86081a1518b19482d32653e70f34189)6e02afe -
file
80d68c9 -
Create README.md
291e2d7 -
initial commit
72be135