Instructions to use quoctruong242/finetunedmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quoctruong242/finetunedmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("quoctruong242/finetunedmodel", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <Truong> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from quoctruong242/finetunedmodel: direct link, hf CLI and curl.
- Browser
- Download file 176 MB
-
https://huggingface.co/quoctruong242/finetunedmodel/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://quoctruong242/finetunedmodel/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/quoctruong242/finetunedmodel/resolve/main/pytorch_custom_diffusion_weights.bin
176 MB
- Xet hash:
- b437d06e59771f775679827df6e1e1a1f70f25ece55de8866b3bafd2edc6c54e
- Size of remote file:
- 176 MB
- SHA256:
- 5c5c333a2115385953ce552547a92e47f23c6eefa9c3408921d512689c1bbefd
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