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 Settings
- Draw Things
Download flux-dev/text_encoder/model.safetensors from Aloukik21/trainer: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Aloukik21/trainer/resolve/main/flux-dev/text_encoder/model.safetensors
- Command line
-
hf download hf://Aloukik21/trainer/flux-dev/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Aloukik21/trainer/resolve/main/flux-dev/text_encoder/model.safetensors
246 MB
- Xet hash:
- 8485ed06b568be32e5e0ab64d386d32f7f6b8ce91c48f2f71c01d9c32c04a7e0
- Size of remote file:
- 246 MB
- SHA256:
- 893d67a23f4693ed42cdab4cbad7fe3e727cf59609c40da28a46b5470f9ed082
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