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 checkpoint-200/optimizer.bin from jrick6/saved_model: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/jrick6/saved_model/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://jrick6/saved_model/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jrick6/saved_model/resolve/main/checkpoint-200/optimizer.bin
6.59 MB
- Xet hash:
- f7b6d856550c77980a0acdcee9e5fcdbc0738b0da1f989d28e526bf189b8166e
- Size of remote file:
- 6.59 MB
- SHA256:
- 6c9652db9705c56142adb72e1c74262127273f6e3388cd80377735d988e72531
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