Instructions to use m28yhtd/Replace_object_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use m28yhtd/Replace_object_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("m28yhtd/Replace_object_lora", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download checkpoint-5000/optimizer.bin from m28yhtd/Replace_object_lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/m28yhtd/Replace_object_lora/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://m28yhtd/Replace_object_lora/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/m28yhtd/Replace_object_lora/resolve/main/checkpoint-5000/optimizer.bin
6.59 MB
- Xet hash:
- 098fc120f84ee0f43e2ff7d1c8aa8078c7e64e58dec42a1d95846f5c0018ebd5
- Size of remote file:
- 6.59 MB
- SHA256:
- d7b181f8b0ac7e4068691e9ac356159893efc3cbe042362880c202c0f1f4a94d
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