Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use Stanpie3/LoRA_Olya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Stanpie3/LoRA_Olya 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("Stanpie3/LoRA_Olya") prompt = "photo collage in James Gilleard and Greg Gocchini style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/scaler.pt from Stanpie3/LoRA_Olya: direct link, hf CLI and curl.
- Browser
- Download file 1.38 kB
-
https://huggingface.co/Stanpie3/LoRA_Olya/resolve/main/checkpoint-500/scaler.pt
- Command line
-
hf download hf://Stanpie3/LoRA_Olya/checkpoint-500/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/Stanpie3/LoRA_Olya/resolve/main/checkpoint-500/scaler.pt
1.38 kB
- Xet hash:
- b1aa058a5d0c365aedcc76e9a24fa994acfe99c9266671d2410db34ac1b40677
- Size of remote file:
- 1.38 kB
- SHA256:
- f77569c2e850b04af982cc8c1389f1430851448915c593b69e5da36ce05b71d7
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