Instructions to use simpleipfs/custom_sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use simpleipfs/custom_sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("simpleipfs/custom_sdxl", dtype=torch.bfloat16, device_map="cuda") 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
Rename unet/diffusion_pytorch_model-00001-of-00002.safetensors.backup to unet/diffusion_pytorch_model-00001-of-00002.backup
Browse files
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text_encoder_2/donotuse filter=lfs diff=lfs merge=lfs -text
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unet/diffusion_pytorch_model-00001-of-00002.safetensors.backup filter=lfs diff=lfs merge=lfs -text
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unet/diffusion_pytorch_model-00002-of-00002.safetensors.backup filter=lfs diff=lfs merge=lfs -text
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text_encoder_2/donotuse filter=lfs diff=lfs merge=lfs -text
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unet/diffusion_pytorch_model-00001-of-00002.safetensors.backup filter=lfs diff=lfs merge=lfs -text
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unet/diffusion_pytorch_model-00002-of-00002.safetensors.backup filter=lfs diff=lfs merge=lfs -text
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unet/diffusion_pytorch_model-00001-of-00002.backup filter=lfs diff=lfs merge=lfs -text
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unet/{diffusion_pytorch_model-00001-of-00002.safetensors.backup → diffusion_pytorch_model-00001-of-00002.backup}
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