Instructions to use diffusers/lora-trained-xl-potato-head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/lora-trained-xl-potato-head with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/stable-diffusion-xl-base-0.9", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("diffusers/lora-trained-xl-potato-head") prompt = "a photo of sks character" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/pytorch_lora_weights.bin from diffusers/lora-trained-xl-potato-head: direct link, hf CLI and curl.
- Browser
- Download file 23.7 MB
-
https://huggingface.co/diffusers/lora-trained-xl-potato-head/resolve/main/checkpoint-500/pytorch_lora_weights.bin
- Command line
-
hf download hf://diffusers/lora-trained-xl-potato-head/checkpoint-500/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/diffusers/lora-trained-xl-potato-head/resolve/main/checkpoint-500/pytorch_lora_weights.bin
23.7 MB
- Xet hash:
- 1ee4e76a5ee1394c5615df4460e2203e149edc7ff2f3f843f4f4f6fd6182e0bf
- Size of remote file:
- 23.7 MB
- SHA256:
- f22eb423cccea4579b7d02719e6b0b9804ea1f20c0a3618cb6087b497bf4541c
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