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-000080.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-000080.safetensors
- Command line
-
hf download hf://DevonIT/hyd7150mdl-deep/hyd7150mdl-deep-000080.safetensors
-
curl -L -o hyd7150mdl-deep-000080.safetensors https://huggingface.co/DevonIT/hyd7150mdl-deep/resolve/main/hyd7150mdl-deep-000080.safetensors
39.8 MB
- Xet hash:
- 9362ce1ea0f80439d7bea2e4f7adb6181230fb1d474a5d3a893bb57bf9abbf62
- Size of remote file:
- 39.8 MB
- SHA256:
- 6835f1039b82ae1c1e3c6920d02bd5745ae77cd2b67180996c3222084ee20175
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