Instructions to use diffusion-gif/any2ego with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusion-gif/any2ego 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("diffusion-gif/any2ego") 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 checkpoints/sft_only/additional_config.json from diffusion-gif/any2ego: direct link, hf CLI and curl.
- Browser
- Download file 76 Bytes
-
https://huggingface.co/diffusion-gif/any2ego/resolve/main/checkpoints/sft_only/additional_config.json
- Command line
-
hf download hf://diffusion-gif/any2ego/checkpoints/sft_only/additional_config.json
-
curl -L -o additional_config.json https://huggingface.co/diffusion-gif/any2ego/resolve/main/checkpoints/sft_only/additional_config.json
76 Bytes
| { | |
| "lora_dtype": null, | |
| "lorap_lr_ratio": null, | |
| "lorap_emb_lr": 1e-06 | |
| } | |