Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use rrct/Persona_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rrct/Persona_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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rrct/Persona_LoRA") prompt = "a photo of TOK person" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-40/optimizer.bin from rrct/Persona_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/rrct/Persona_LoRA/resolve/main/checkpoint-40/optimizer.bin
- Command line
-
hf download hf://rrct/Persona_LoRA/checkpoint-40/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/rrct/Persona_LoRA/resolve/main/checkpoint-40/optimizer.bin
15 MB
- Xet hash:
- 28538fd0192d885a9cc22291fc0e0b20ed3e6f8d8ca006635f4d8982a500f775
- Size of remote file:
- 15 MB
- SHA256:
- ed62546c45c8d3c4349fdfcfc1d46b7689a2f56d04d68d09f7a4114c15216620
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