Instructions to use carvychen/db-lora-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use carvychen/db-lora-xl 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("carvychen/db-lora-xl") prompt = "shs inkpainting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-550/optimizer.bin from carvychen/db-lora-xl: direct link, hf CLI and curl.
- Browser
- Download file 47.4 MB
-
https://huggingface.co/carvychen/db-lora-xl/resolve/main/checkpoint-550/optimizer.bin
- Command line
-
hf download hf://carvychen/db-lora-xl/checkpoint-550/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/carvychen/db-lora-xl/resolve/main/checkpoint-550/optimizer.bin
47.4 MB
- Xet hash:
- e8d6a419bc3d7038b85e66011da6ff39093f8341f5d1ad9fb54be555499e2835
- Size of remote file:
- 47.4 MB
- SHA256:
- 50e56a9e33b03c1ac5279981f2d3d718c1e806f0ec0947e36b94a7bd4670c0aa
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