Instructions to use jtlowell/cozy_wall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jtlowell/cozy_wall 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("jtlowell/cozy_wall") prompt = "cozy_wall" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from jtlowell/cozy_wall: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/jtlowell/cozy_wall/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://jtlowell/cozy_wall/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jtlowell/cozy_wall/resolve/main/checkpoint-200/optimizer.bin
15 MB
- Xet hash:
- 28e2eab0d93c53747a3b8b678d9de034e86fe937ecbcf4e59aa0030ee491e5d7
- Size of remote file:
- 15 MB
- SHA256:
- 818b905613578e573dd474de289cea2d8c1b96ce61af046b6154f2f312cfa024
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