Instructions to use Aloukik21/trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aloukik21/trainer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Aloukik21/trainer") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Add Z-Image Turbo training adapter v2
Browse files
z-image-turbo-adapter/zimage_turbo_training_adapter_v2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:20a541d3e016ab8de0da076321b48b6cd9b3ffd072d9df830a068220ab2265f6
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size 340194488
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