Instructions to use tangjs/sd-model-finetuned-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tangjs/sd-model-finetuned-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tangjs/sd-model-finetuned-lora") 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 pytorch_lora_weights.bin from tangjs/sd-model-finetuned-lora: direct link, hf CLI and curl.
- Browser
- Download file 93.3 MB
-
https://huggingface.co/tangjs/sd-model-finetuned-lora/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://tangjs/sd-model-finetuned-lora/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/tangjs/sd-model-finetuned-lora/resolve/main/pytorch_lora_weights.bin
93.3 MB
- Xet hash:
- 737ea0de00010f8897cdcf93313d2e0e8ba5ec19b487cf019dbd5ad195190a65
- Size of remote file:
- 93.3 MB
- SHA256:
- e18d04bdd6deb67631af01a112b24539947e3bc4f99e824ca2bcd90bfa9d62e8
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