Instructions to use AlekseyCalvin/acs_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/acs_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/acs_model", dtype=torch.bfloat16, device_map="cuda") prompt = "acs" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ACS SD Model Dreambooth model trained by A.C.T. SOON® with Hugging Face Dreambooth Training Space with the v1-5 model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
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