Text-to-Image
Diffusers
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use orekhovsky/hist_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use orekhovsky/hist_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("orekhovsky/hist_LoRA", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of histological slide" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/scheduler.bin from orekhovsky/hist_LoRA: direct link, hf CLI and curl.
- Browser
- Download file 1.4 kB
-
https://huggingface.co/orekhovsky/hist_LoRA/resolve/main/checkpoint-100/scheduler.bin
- Command line
-
hf download hf://orekhovsky/hist_LoRA/checkpoint-100/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/orekhovsky/hist_LoRA/resolve/main/checkpoint-100/scheduler.bin
1.4 kB
- Xet hash:
- 7f4528add90a4bf4fd07565fe726e56d86030a07311ef165f8f29a2ad3660f85
- Size of remote file:
- 1.4 kB
- SHA256:
- 6d40364e6396274d9f18042e839888ebd756c3f8427e0b885567fc0c8a32462c
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