Text-to-Image
Diffusers
TensorBoard
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use comdoleger/jar_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use comdoleger/jar_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("comdoleger/jar_LoRA", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of TOK jar, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-717/optimizer.bin from comdoleger/jar_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/comdoleger/jar_LoRA/resolve/main/checkpoint-717/optimizer.bin
- Command line
-
hf download hf://comdoleger/jar_LoRA/checkpoint-717/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/comdoleger/jar_LoRA/resolve/main/checkpoint-717/optimizer.bin
15 MB
- Xet hash:
- 795bd5f5e1552c9dd0049347ef08130fe18311e93f23b5257014c1175e19ca5a
- Size of remote file:
- 15 MB
- SHA256:
- adfe0d36fea7ecfc0cb86aea6f9b196cdd06959873436e433a8adaceeb2e046d
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