Instructions to use AlexanderLab/amtxd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/amtxd 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("AlexanderLab/amtxd") prompt = "amtxd" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c66e608f57b982c5371e30a2bcca0ca1d5aec4724ef309dd013895aa0db4c5cc
- Size of remote file:
- 344 MB
- SHA256:
- 806b8f2c9a22a4ebfbbed2d1f92bf3a4f2ebd4515f5e2915d4d96ea7fecf77d6
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