Instructions to use XaflocAI/EKO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XaflocAI/EKO 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("XaflocAI/EKO") prompt = "EKO, digital nomads working in the basement of an old abandoned mine, computer screens everywhere, data and analytics on the screen" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 3 files
Browse files
EKO_flux_lora_v1.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:04eaff82acfc072ad3ae108690497ebb53eb6ff84ce8054e31667d79b68c097a
|
| 3 |
+
size 153276784
|
images/00031-143706824.png
ADDED
|
Git LFS Details
|
images/00095-2002116782.png
ADDED
|
Git LFS Details
|