Instructions to use TensorVizion/NeonShadowsXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TensorVizion/NeonShadowsXL 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("TensorVizion/NeonShadowsXL") prompt = "purple hair babe, goth neon anime" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from TensorVizion/NeonShadowsXL: direct link, hf CLI and curl.
- Browser
- Download file 48.5 MB
-
https://huggingface.co/TensorVizion/NeonShadowsXL/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://TensorVizion/NeonShadowsXL/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TensorVizion/NeonShadowsXL/resolve/main/checkpoint-1000/optimizer.bin
48.5 MB
- Xet hash:
- b6eed315fa8745b16d13105944403d930a9b7f7ab56dac9fbef68de17662e570
- Size of remote file:
- 48.5 MB
- SHA256:
- d4bc98099822ca67eb3317d31d5e6022bb0a978d08af55d09a16617bce95d717
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