Instructions to use lucataco/ReplicateFluxLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucataco/ReplicateFluxLoRA 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("lucataco/ReplicateFluxLoRA") prompt = "a boat in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,7 +3,7 @@ license: other
|
|
| 3 |
license_name: flux-1-dev-non-commercial-license
|
| 4 |
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
|
| 5 |
---
|
| 6 |
-
Flux LoRA trained by [
|
| 7 |
|
| 8 |
Watercolor style trained for 1000 steps
|
| 9 |
|
|
|
|
| 3 |
license_name: flux-1-dev-non-commercial-license
|
| 4 |
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
|
| 5 |
---
|
| 6 |
+
Flux LoRA trained by [ostris/flux-dev-lora-trainer](https://replicate.com/ostris/flux-dev-lora-trainer/train) on Replicate
|
| 7 |
|
| 8 |
Watercolor style trained for 1000 steps
|
| 9 |
|