Instructions to use Sri2901/watch_raga_shift with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sri2901/watch_raga_shift with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Sri2901/watch_raga_shift") prompt = "A photo-realistic still life shoot from a close-up angle about a luxury Rolex watch on a wooden surface with a reflective surface, set against a dark and moody background with soft, warm lighting. the image also shows a gold Rolex Oyster Perpetual Datejust watch with a polished finish and a gold bracelet. on the right side of the image, the watch is placed on a dark surface, with its reflection visible on the wooden surface. the watch has a gold dial with luminous hands and hour markers, and a date window at the 3 o'clock position. the background is blurred, with a subtle, warm light illuminating the watch, creating a sense of depth and dimensionality. the overall mood is sophisticated and sophisticated, with the focus on the watch and its reflection in the dark surface." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download optimizer.pt from Sri2901/watch_raga_shift: direct link, hf CLI and curl.
- Browser
- Download file 699 MB
-
https://huggingface.co/Sri2901/watch_raga_shift/resolve/main/optimizer.pt
- Command line
-
hf download hf://Sri2901/watch_raga_shift/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Sri2901/watch_raga_shift/resolve/main/optimizer.pt
699 MB
- Xet hash:
- ddec5814954ac79f2b695ab3ad88c1452107bf3ec3e053ae93c69adad58440c7
- Size of remote file:
- 699 MB
- SHA256:
- 583b8f4df3094329e944146a1a8c44aff6d59c6391495922a970ad218a6d2f0c
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