Instructions to use barry556652/LoRAtest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use barry556652/LoRAtest 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("barry556652/LoRAtest") 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 checkpoint-2000/optimizer.bin from barry556652/LoRAtest: direct link, hf CLI and curl.
- Browser
- Download file 6.53 MB
-
https://huggingface.co/barry556652/LoRAtest/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://barry556652/LoRAtest/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/barry556652/LoRAtest/resolve/main/checkpoint-2000/optimizer.bin
6.53 MB
- Xet hash:
- d98a54b666671ee09a6197fe2998b5d61e2249e019585b75d10ac3837fd2453b
- Size of remote file:
- 6.53 MB
- SHA256:
- 7146b9a0b787d1ed55c26d17a19869e993a0b1dee1c991d8960e621e019cf567
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