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
- Draw Things
- DiffusionBee
- Xet hash:
- ed556b15e612f68e67a195d9f9e3ef9d64f35643ff7e6841a5287fdc9944807d
- Size of remote file:
- 173 MB
- SHA256:
- a1abd1b34a7829488f29aaec010b1299fae8d605fb5f543cf5cc08b25cbc1ff3
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