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 z-image-turbo/text_encoder/generation_config.json from Aloukik21/trainer: direct link, hf CLI and curl.
- Browser
- Download file 239 Bytes
-
https://huggingface.co/Aloukik21/trainer/resolve/main/z-image-turbo/text_encoder/generation_config.json
- Command line
-
hf download hf://Aloukik21/trainer/z-image-turbo/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Aloukik21/trainer/resolve/main/z-image-turbo/text_encoder/generation_config.json
239 Bytes
| { | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "temperature": 0.6, | |
| "top_k": 20, | |
| "top_p": 0.95, | |
| "transformers_version": "4.51.0" | |
| } |