Instructions to use sid229/fine-tuned-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sid229/fine-tuned-50 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sid229/fine-tuned-50", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from sid229/fine-tuned-50: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/sid229/fine-tuned-50/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sid229/fine-tuned-50/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sid229/fine-tuned-50/resolve/main/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 6594cdc152fe0927c2231b1ac51ffa7975fb11bd881417627d99894bcac981d9
- Size of remote file:
- 1.36 GB
- SHA256:
- f8d8f4b42abecbd83b11dd79e3794646fdfc32056852483acd0587950b469332
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