Instructions to use codermert/malikafinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codermert/malikafinal 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/malikafinal") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3a3d26b867d72754691a8315a74fd5ef3a98413e9269b1b4a6a187ffb2c0737f
- Size of remote file:
- 172 MB
- SHA256:
- e93d43844b95f352f059b759720747aee8558bba539d0d9b79d2d31d7424dcb0
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