Instructions to use Gumibit/cr7-v2-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gumibit/cr7-v2-768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gumibit/cr7-v2-768", dtype=torch.bfloat16, device_map="cuda") prompt = "CrisRo07" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
CR7_v2_768 Dreambooth model trained by Gumibit with Hugging Face Dreambooth Training Space with the v2-768 base model
You run your new concept via diffusers Colab Notebook for Inference. Don't forget to use the concept prompts!
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