Instructions to use spiron/v2-object-16img-2000training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use spiron/v2-object-16img-2000training with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("spiron/v2-object-16img-2000training", 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 spiron/v2-object-16img-2000training: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/spiron/v2-object-16img-2000training/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://spiron/v2-object-16img-2000training/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/spiron/v2-object-16img-2000training/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 4008d18ff9e610dfe6ae219e8aac9f05b4f875ddaa8c06770579c16ca322b253
- Size of remote file:
- 1.36 GB
- SHA256:
- 6a479f8710db616a6eb52691ab6192054cd6fbfbcb7420d5d0fc7d1f8d972b94
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