Instructions to use codermert/malikaaaaa_fluxx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/malikaaaaa_fluxx 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/malikaaaaa_fluxx") prompt = "TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1744d8b5828599014654e2a0753bd3150519f259525b970c3fc8314c966c7cdd
- Size of remote file:
- 172 MB
- SHA256:
- 2221f4a5381e6677b143992549ea6ae8b37e563c18d589340422c40081a4f126
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