Text-to-Image
Diffusers
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use sp713/self_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sp713/self_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sp713/self_LoRA", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of TOK man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-717/optimizer.bin from sp713/self_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/sp713/self_LoRA/resolve/main/checkpoint-717/optimizer.bin
- Command line
-
hf download hf://sp713/self_LoRA/checkpoint-717/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sp713/self_LoRA/resolve/main/checkpoint-717/optimizer.bin
15 MB
- Xet hash:
- 7dc9b7074e4bff43a29ad38b2e424f8cb78ab582bfeb1f52e2d664ecbbc3f8a4
- Size of remote file:
- 15 MB
- SHA256:
- d0757e79cfb3d50fd8feecc8e5e0b9fe908646980fb532b5c99fd3f5627b54e0
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