Instructions to use prithivMLmods/Flux-Product-Ad-Backdrop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Flux-Product-Ad-Backdrop 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("prithivMLmods/Flux-Product-Ad-Backdrop") prompt = "Product Ad, Captured at eye-level, a close-up shot captures a pile of fried chicken wings in a white paper cup. The chicken wings are a vibrant brown color, adding a pop of color to the scene. The cup is placed on a light brown wooden table, creating a stark contrast with the vibrant blue sky in the background. To the right of the chicken wings, a slice of lemon, a red onion, and a red radish are placed on the table. The radish, and red onions are arranged in a circular pattern, adding depth to the composition. The backdrop is blurred, suggesting a fair day." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
Prod-Ad.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7c367e51f67d4656f2965f36667be115d4cce693ae6433764b808ddd77bd519
|
| 3 |
+
size 612748392
|
images/eb5c9dce-a474-4723-b5ca-c1b5bd7a84be.webp
ADDED
|
Git LFS Details
|