Instructions to use martintomov/ecom-flux-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martintomov/ecom-flux-v2 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("martintomov/ecom-flux-v2") prompt = "A raw photograph of a sofa of 88 cm width and 79 cm height on a non-reflective light-colored carpet in a cozy living room with soft, ambient lighting. The mood of the scene should be warm and inviting." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#6
by martintomov - opened
Generated example for model martintomov/ecom-flux-v2.
Prompt: A raw photograph of a hangstoel swing of 95 cm width and 200 cm height on a non-reflective stone patio in a sunny outdoor garden setting surrounded by lush greenery, with warm, natural daylight illuminating the scene. The mood of the scene should be peaceful and inviting.
martintomov changed pull request status to merged