Instructions to use codermert/dzjulia_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/dzjulia_flux 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("codermert/dzjulia_flux") prompt = "DHANUSH" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 89b77c283a23c5f239521c2094dbac0360c9b15c0aed7756d10ce03fd90b99e7
- Size of remote file:
- 173 MB
- SHA256:
- 1845f7739dc496e3fda3cacad9162c022ca032c7ceef10715ca7fcecfc84f4f7
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