Instructions to use danielrosehill/Tel-Aviv-Street-Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danielrosehill/Tel-Aviv-Street-Style 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("danielrosehill/Tel-Aviv-Street-Style") prompt = "A man stands on the pavement. In the background are tall skyscrapers. TLVSCENE" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 3 files
Browse files- flux-lora.safetensors +3 -0
- images/out-0 (1).webp +3 -0
- images/out-1.webp +3 -0
flux-lora.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a86588e855ec3197bcbc4632fd48b989500e903b42b520378b5d8a7e3d0108ad
|
| 3 |
+
size 171969920
|
images/out-0 (1).webp
ADDED
|
Git LFS Details
|
images/out-1.webp
ADDED
|
Git LFS Details
|