Instructions to use ankush10010/SD1.5_distilled_attentionlayer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ankush10010/SD1.5_distilled_attentionlayer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ankush10010/SD1.5_distilled_attentionlayer", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-4000/model_1.safetensors from ankush10010/SD1.5_distilled_attentionlayer: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/ankush10010/SD1.5_distilled_attentionlayer/resolve/main/checkpoint-4000/model_1.safetensors
- Command line
-
hf download hf://ankush10010/SD1.5_distilled_attentionlayer/checkpoint-4000/model_1.safetensors
-
curl -L -o model_1.safetensors https://huggingface.co/ankush10010/SD1.5_distilled_attentionlayer/resolve/main/checkpoint-4000/model_1.safetensors
1.72 GB
- Size of remote file:
- 1.72 GB
- SHA256:
- c83908253f9a64d08c25fc90874c9c8aef9a329ce1ca5fb909d73b0c83d1ea21
·
Git Large File Storage (LFS) replaces large files with text pointers inside Git, while storing the file contents on a remote server. More info.