Instructions to use ManyWayne/FLUX_X_MAX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManyWayne/FLUX_X_MAX 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("ManyWayne/FLUX_X_MAX") prompt = "Ahegao face. " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 937d96319483452f1c3a59477f0e75de7745351583b066cc7fd897e05214e8af
- Size of remote file:
- 153 MB
- SHA256:
- ff33696a15b30b4f4aedac3bfa4f6ece0d546284dd2a9c8ad2846b5f4ee8d023
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