Instructions to use deidaraTobi/lora_tom_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use deidaraTobi/lora_tom_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("deidaraTobi/lora_tom_model") prompt = "a photo of sks person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from deidaraTobi/lora_tom_model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/deidaraTobi/lora_tom_model/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://deidaraTobi/lora_tom_model/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/deidaraTobi/lora_tom_model/resolve/main/checkpoint-200/optimizer.bin
6.59 MB
- Xet hash:
- d086fcf5718e930e81288deb602cb476b8dc7877d32866ca5a7f5302f8f3fecf
- Size of remote file:
- 6.59 MB
- SHA256:
- caf886c8747c18c619464834b6554f31bbc9aa0f670de9c2a22bb77885ef3a91
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