Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use joheras/jonathan-stable-diffusion-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joheras/jonathan-stable-diffusion-v2 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-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("joheras/jonathan-stable-diffusion-v2") prompt = "a photo of jonathan" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-900/optimizer.bin from joheras/jonathan-stable-diffusion-v2: direct link, hf CLI and curl.
- Browser
- Download file 6.85 MB
-
https://huggingface.co/joheras/jonathan-stable-diffusion-v2/resolve/main/checkpoint-900/optimizer.bin
- Command line
-
hf download hf://joheras/jonathan-stable-diffusion-v2/checkpoint-900/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/joheras/jonathan-stable-diffusion-v2/resolve/main/checkpoint-900/optimizer.bin
6.85 MB
- Xet hash:
- 527627acccc1ef8a770a64258934b3a9529d23c446715e447cf0ab989b0f62d2
- Size of remote file:
- 6.85 MB
- SHA256:
- c5ed4726f49e17c3afb4c276b064871b0ce99ec8e7a663a24f9e18a27b7f56e0
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