Instructions to use Muapi/flux-tops-collection-bandeau-crop-top with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/flux-tops-collection-bandeau-crop-top 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/flux-tops-collection-bandeau-crop-top") 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:
- 2fe58d5aa20da097ca807eea275f196d9dbe61b859376e63a06cc1bed7833157
- Size of remote file:
- 159 MB
- SHA256:
- 766b3dfb3f665d49522c7e94b0a58ab94a7763dd65199c8ea51066ee82daaf43
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