Instructions to use EnD-Diffusers/digital-vivid-memories with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/digital-vivid-memories with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/digital-vivid-memories", dtype=torch.bfloat16, device_map="cuda") prompt = "anidzk2" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add Space badge to model card
#1
by Duskfallcrew - opened
README.md
CHANGED
|
@@ -5,6 +5,7 @@ tags:
|
|
| 5 |
widget:
|
| 6 |
- text: anidzk2
|
| 7 |
---
|
|
|
|
| 8 |
### Digital Vivid Memories Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
|
| 9 |
|
| 10 |
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
|
|
|
|
| 5 |
widget:
|
| 6 |
- text: anidzk2
|
| 7 |
---
|
| 8 |
+
[](https://huggingface.co/spaces/Duskfallcrew/digital-vivid-memories)
|
| 9 |
### Digital Vivid Memories Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model
|
| 10 |
|
| 11 |
You run your new concept via `diffusers` [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb). Don't forget to use the concept prompts!
|