Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
Instructions to use CCMat/fruins-ruins with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CCMat/fruins-ruins with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CCMat/fruins-ruins", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of fruins ruins in Paris in front of the Arc de triomphe, mdjrny-v4 style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -13,7 +13,7 @@ widget:
|
|
| 13 |
style
|
| 14 |
---
|
| 15 |
|
| 16 |
-
# DreamBooth model for the
|
| 17 |
|
| 18 |
This is a Stable Diffusion model fine-tuned on the fruins concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of fruins ruins**
|
| 19 |
|
|
|
|
| 13 |
style
|
| 14 |
---
|
| 15 |
|
| 16 |
+
# DreamBooth model for the fruins concept trained on the CCMat/db-forest-ruins dataset.
|
| 17 |
|
| 18 |
This is a Stable Diffusion model fine-tuned on the fruins concept with DreamBooth. It can be used by modifying the `instance_prompt`: **a photo of fruins ruins**
|
| 19 |
|