Instructions to use techmonsterwang/LINA-c2i-d48w1536-marvae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use techmonsterwang/LINA-c2i-d48w1536-marvae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("techmonsterwang/LINA-c2i-d48w1536-marvae", 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 vae/diffusion_pytorch_model.bin from techmonsterwang/LINA-c2i-d48w1536-marvae: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/techmonsterwang/LINA-c2i-d48w1536-marvae/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://techmonsterwang/LINA-c2i-d48w1536-marvae/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/techmonsterwang/LINA-c2i-d48w1536-marvae/resolve/main/vae/diffusion_pytorch_model.bin
266 MB
- Xet hash:
- 1ce535d9ee7e6162b2a7f884ca0a10e50e688b71e4605f0a03f9db7753abeaa3
- Size of remote file:
- 266 MB
- SHA256:
- 861f52c7c32281e0bc4006bdf028001935d62362358da3306b48d270c8cab12e
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