Instructions to use DevonIT/hyd7150mdl-deep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DevonIT/hyd7150mdl-deep 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("DevonIT/hyd7150mdl-deep") prompt = "A blue and black cordless HYUNDAI HDY-7150 (hyd7150mdl) one-handed, small chainsaw on a white background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download hyd7150mdl-deep-000016.safetensors from DevonIT/hyd7150mdl-deep: direct link, hf CLI and curl.
- Browser
- Download file 39.8 MB
-
https://huggingface.co/DevonIT/hyd7150mdl-deep/resolve/main/hyd7150mdl-deep-000016.safetensors
- Command line
-
hf download hf://DevonIT/hyd7150mdl-deep/hyd7150mdl-deep-000016.safetensors
-
curl -L -o hyd7150mdl-deep-000016.safetensors https://huggingface.co/DevonIT/hyd7150mdl-deep/resolve/main/hyd7150mdl-deep-000016.safetensors
39.8 MB
- Xet hash:
- 4aa3fbb5713a956adb1661f87db1e108bceda70c505baac8cb3758cdc363897c
- Size of remote file:
- 39.8 MB
- SHA256:
- be0bd14af03066e86ef99642affb82dfd7f7b244016e6af0ee1299c7f4a2e171
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