Instructions to use creatoryoon/tr0_batch8_chk200to2000_mixed_precision_fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creatoryoon/tr0_batch8_chk200to2000_mixed_precision_fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("creatoryoon/tr0_batch8_chk200to2000_mixed_precision_fp16", 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 checkpoint-2000/optimizer.bin from creatoryoon/tr0_batch8_chk200to2000_mixed_precision_fp16: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/creatoryoon/tr0_batch8_chk200to2000_mixed_precision_fp16/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://creatoryoon/tr0_batch8_chk200to2000_mixed_precision_fp16/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/creatoryoon/tr0_batch8_chk200to2000_mixed_precision_fp16/resolve/main/checkpoint-2000/optimizer.bin
6.88 GB
- Xet hash:
- 5aaaefae2d1d5cd7d4c00019a7b900a57917436dc63b97d5347ce7182d5df9fc
- Size of remote file:
- 6.88 GB
- SHA256:
- 5365c02577d8b60a806cad2a084a3e7057ad8d84fbda57cafaa7edc4bd3ca855
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.