Instructions to use Aymeric45/aylora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aymeric45/aylora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Aymeric45/aylora") prompt = "AYMERIC" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update config.yaml
Browse files- config.yaml +1 -1
config.yaml
CHANGED
|
@@ -5,7 +5,7 @@ config:
|
|
| 5 |
- type: custom_sd_trainer
|
| 6 |
training_folder: output
|
| 7 |
device: cuda:0
|
| 8 |
-
trigger_word:
|
| 9 |
network:
|
| 10 |
type: lora
|
| 11 |
linear: 16
|
|
|
|
| 5 |
- type: custom_sd_trainer
|
| 6 |
training_folder: output
|
| 7 |
device: cuda:0
|
| 8 |
+
trigger_word: AYMERIC
|
| 9 |
network:
|
| 10 |
type: lora
|
| 11 |
linear: 16
|