Instructions to use elvis92/pets_rank_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use elvis92/pets_rank_2 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("elvis92/pets_rank_2") 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
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Download diffusers/docs/source/en/api/loaders/single_file.md from elvis92/pets_rank_2: direct link, hf CLI and curl.
- Browser
- Download file 1.78 kB
-
https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/docs/source/en/api/loaders/single_file.md
- Command line
-
hf download hf://elvis92/pets_rank_2/diffusers/docs/source/en/api/loaders/single_file.md
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curl -L -o single_file.md https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/docs/source/en/api/loaders/single_file.md
1.78 kB
Single files
Diffusers supports loading pretrained pipeline (or model) weights stored in a single file, such as a ckpt or safetensors file. These single file types are typically produced from community trained models. There are three classes for loading single file weights:
- [
FromSingleFileMixin] supports loading pretrained pipeline weights stored in a single file, which can either be ackptorsafetensorsfile. - [
FromOriginalVAEMixin] supports loading a pretrained [AutoencoderKL] from pretrained ControlNet weights stored in a single file, which can either be ackptorsafetensorsfile. - [
FromOriginalControlnetMixin] supports loading pretrained ControlNet weights stored in a single file, which can either be ackptorsafetensorsfile.
To learn more about how to load single file weights, see the Load different Stable Diffusion formats loading guide.
FromSingleFileMixin
[[autodoc]] loaders.single_file.FromSingleFileMixin
FromOriginalVAEMixin
[[autodoc]] loaders.single_file.FromOriginalVAEMixin
FromOriginalControlnetMixin
[[autodoc]] loaders.single_file.FromOriginalControlnetMixin