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
Download .gitattributes from codermert/model_malika: direct link, hf CLI and curl.
- Browser
- Download file 118 Bytes
-
https://huggingface.co/codermert/model_malika/resolve/main/.gitattributes
- Command line
-
hf download hf://codermert/model_malika/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/codermert/model_malika/resolve/main/.gitattributes
118 Bytes
| flux_train_replicate.safetensors filter=lfs diff=lfs merge=lfs -text | |
| optimizer.pt filter=lfs diff=lfs merge=lfs -text | |