Instructions to use chaenayo/trained-flux-lora-dog-masked with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chaenayo/trained-flux-lora-dog-masked 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("chaenayo/trained-flux-lora-dog-masked") prompt = "A photo of sks dog in a bucket" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- ec408f73566656962e252c94adc0d7870eb67c89bd797b14d42ed8e45c9988d5
- Size of remote file:
- 1.29 MB
- SHA256:
- 3f132a4da03a05d04ff9675380269533b97d5f7bafe1a01cca96a696c768e85a
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