Instructions to use stephanebhiri/lora-trained-xl-colab-stp25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stephanebhiri/lora-trained-xl-colab-stp25 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("stephanebhiri/lora-trained-xl-colab-stp25") prompt = "ohwx man" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weightsold.bin from stephanebhiri/lora-trained-xl-colab-stp25: direct link, hf CLI and curl.
- Browser
- Download file 23.7 MB
-
https://huggingface.co/stephanebhiri/lora-trained-xl-colab-stp25/resolve/main/pytorch_lora_weightsold.bin
- Command line
-
hf download hf://stephanebhiri/lora-trained-xl-colab-stp25/pytorch_lora_weightsold.bin
-
curl -L -o pytorch_lora_weightsold.bin https://huggingface.co/stephanebhiri/lora-trained-xl-colab-stp25/resolve/main/pytorch_lora_weightsold.bin
23.7 MB
- Xet hash:
- d523c07057b05c9f5370d664b22e487514f95f2f2926f148b57b742fc6aa10ea
- Size of remote file:
- 23.7 MB
- SHA256:
- 91ccc773f2bd647e7d0388a6464cf8e6bfd62bfbec5380357067a9a224254b00
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