Instructions to use ij5/pixel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ij5/pixel 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("ij5/pixel") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- images/girl.png +3 -0
- pixel-art-xl-v1.1.safetensors +3 -0
images/girl.png
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Git LFS Details
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pixel-art-xl-v1.1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbf3d8defbfb3fb71331545225c0cf50c74a748d2525f7c19ebb8f74445de274
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size 170543052
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