Instructions to use codermert/model_malika with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/model_malika 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/model_malika") prompt = "DHANUSH" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7a41c3c95c3b3bf7a65da47b96f536cf64edb591fd4710e039aecc3c83ca82f2
- Size of remote file:
- 172 MB
- SHA256:
- 6c450e464434326b4289c21b4825647729f81c86f05273806611566c6e35e138
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