Instructions to use Sri2901/Watch_raga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sri2901/Watch_raga 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") 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: direct link, hf CLI and curl.
- Browser
- Download file 699 MB
-
https://huggingface.co/Sri2901/Watch_raga/resolve/main/optimizer.pt
- Command line
-
hf download hf://Sri2901/Watch_raga/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Sri2901/Watch_raga/resolve/main/optimizer.pt
699 MB
- Xet hash:
- 2841c687843f18b9d287ad901c0b548b673ee6fa0d639e7cb654cf02425c283d
- Size of remote file:
- 699 MB
- SHA256:
- e85cfad34639c3135b014fa17d6ec30476018c04d0668e8b7f29d5943abcedc5
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