Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use Quankai/pokemon-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Quankai/pokemon-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Quankai/pokemon-lora") 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-14000/optimizer.bin from Quankai/pokemon-lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Quankai/pokemon-lora/resolve/main/checkpoint-14000/optimizer.bin
- Command line
-
hf download hf://Quankai/pokemon-lora/checkpoint-14000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Quankai/pokemon-lora/resolve/main/checkpoint-14000/optimizer.bin
6.59 MB
- Xet hash:
- a06f4fff50f2e277c41fab8eb05ef89a128f78c3999dcd3095dcfb1548d82034
- Size of remote file:
- 6.59 MB
- SHA256:
- b3dd1c22515175481e65b21c52d0ffa95c500f27bc6d3ce5fb9957d4167f6a81
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.