Instructions to use iamplus/agpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamplus/agpu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("iamplus/agpu") prompt = "santhanam man" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Commit ·
6bf37f0
1
Parent(s): 21ebc5e
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,7 @@ tags:
|
|
| 12 |
inference: true
|
| 13 |
---
|
| 14 |
|
| 15 |
-
# LoRA DreamBooth -
|
| 16 |
|
| 17 |
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on santhanam man using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
|
| 18 |
|
|
|
|
| 12 |
inference: true
|
| 13 |
---
|
| 14 |
|
| 15 |
+
# LoRA DreamBooth - iamplus/agpu
|
| 16 |
|
| 17 |
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on santhanam man using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
|
| 18 |
|