Instructions to use EnD-Diffusers/flowers-2-1-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/flowers-2-1-768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/flowers-2-1-768", dtype=torch.bfloat16, device_map="cuda") prompt = "fldsky1" 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
|
@@ -10,6 +10,7 @@ language:
|
|
| 10 |
- en
|
| 11 |
library_name: diffusers
|
| 12 |
---
|
|
|
|
| 13 |
### Flowers 2.1 768 Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-1-768 base model
|
| 14 |
|
| 15 |
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!
|
|
|
|
| 10 |
- en
|
| 11 |
library_name: diffusers
|
| 12 |
---
|
| 13 |
+
[](https://huggingface.co/spaces/Duskfallcrew/flowers-2-1-768)
|
| 14 |
### Flowers 2.1 768 Dreambooth model trained by Duskfallcrew with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v2-1-768 base model
|
| 15 |
|
| 16 |
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!
|