Instructions to use Muapi/gladiator-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/gladiator-style 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/gladiator-style") 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:
- 622cbe3533dc6a4ef78576603845defdf7d8f71f788c395ec92ba50163a23235
- Size of remote file:
- 19.3 MB
- SHA256:
- 35f203f582aab1e98cb99fde19062ca8955d5e9a67c9de53ea81721f0208e223
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