Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
lora
Instructions to use jrick6/saved_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jrick6/saved_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jrick6/saved_model") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download tokenizer/merges.txt from jrick6/saved_model: direct link, hf CLI and curl.
- Browser
- Download file 525 kB
-
https://huggingface.co/jrick6/saved_model/resolve/main/tokenizer/merges.txt
- Command line
-
hf download hf://jrick6/saved_model/tokenizer/merges.txt
-
curl -L -o merges.txt https://huggingface.co/jrick6/saved_model/resolve/main/tokenizer/merges.txt
525 kB
File too large to display, you can check the raw version instead.