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
Commit History
-
Rename text_encoder/text_encoder.pth to text_encoder/model.pth
Verified signatureb871a21 -
Upload text_encoder.pth
Verified signaturedamn precision lossesb112a21
-
Rename text_encoder/donotuse to text_encoder/model.safetensors
Verified signature5397686 -
Rename text_encoder/model.safetensors to text_encoder/donotuse
Verified signature1053927
-
Revert to fp16
Verified signature16f54db -
Use fp32
Verified signature690a080
-
Mixed precision new
84ddd66 -
Rename text_encoder/model_fp16.safetensors to text_encoder/model.safetensors
Verified signature5aa1371 -
Delete text_encoder/model.safetensors
Verified signaturea7b3b9f -
Mixed precision
5764fea -
Update to FP16
f358f80 -
New
644ce82