Instructions to use Mark000111888/llv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mark000111888/llv3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mark000111888/llv3", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Mark000111888/llv3: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Mark000111888/llv3/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Mark000111888/llv3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mark000111888/llv3/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- d38a82b401a06558022204f0880f6a51faf855e6e1f8beb8901f0c8de096a88f
- Size of remote file:
- 492 MB
- SHA256:
- fa656dd9e1b930d97340df24ac83f78166ac6e02b78baf344df02127c4197dff
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