Instructions to use Muapi/clear_note with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/clear_note 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("Muapi/clear_note") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3dae51996ec6ed6c64bd62b79c3c3bcb207df653d9e148a424295acd6a2431b6
- Size of remote file:
- 38.5 MB
- SHA256:
- 25621fafff0db64a677d38f884866c157962052798f7fb569876e2d1dd645a97
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