Instructions to use AdamProAI/FluxHOLTER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AdamProAI/FluxHOLTER 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("AdamProAI/FluxHOLTER") prompt = "HOLTER" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 19992ec74b8bf352ab80769392060fa89994c1b305706bb312d26c3f9e9f6115
- Size of remote file:
- 344 MB
- SHA256:
- ca9bbbe68c41cf929852489902b127a4a919e19613e05126b37c1f9b18647bcb
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