Instructions to use TomSchal5/csd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TomSchal5/csd 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("TomSchal5/csd") prompt = "Abstract luxury blur dark grey and black gradient, used as background studio wall for display your products" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
kj

- Prompt
- Abstract luxury blur dark grey and black gradient, used as background studio wall for display your products
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for TomSchal5/csd
Base model
black-forest-labs/FLUX.1-dev