Instructions to use lea97338/Louane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lea97338/Louane with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lea97338/Louane", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download model_index.json from lea97338/Louane: direct link, hf CLI and curl.
- Browser
- Download file 335 Bytes
-
https://huggingface.co/lea97338/Louane/resolve/main/model_index.json
- Command line
-
hf download hf://lea97338/Louane/model_index.json
-
curl -L -o model_index.json https://huggingface.co/lea97338/Louane/resolve/main/model_index.json
335 Bytes
| { | |
| "_class_name": "LouanePipeline", | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "louane_unet", | |
| "LouaneUNet" | |
| ], | |
| "scheduler": [ | |
| "louane_scheduler", | |
| "LouaneScheduler" | |
| ], | |
| "vae": [ | |
| "louane_vae", | |
| "LouaneVAE" | |
| ] | |
| } |