Instructions to use na1taneja2821/diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use na1taneja2821/diffusers 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("na1taneja2821/diffusers") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| # coding=utf-8 | |
| # Copyright 2024 HuggingFace Inc. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import unittest | |
| from pathlib import Path | |
| from tempfile import TemporaryDirectory | |
| from diffusers.utils.hub_utils import load_or_create_model_card, populate_model_card | |
| class CreateModelCardTest(unittest.TestCase): | |
| def test_generate_model_card_with_library_name(self): | |
| with TemporaryDirectory() as tmpdir: | |
| file_path = Path(tmpdir) / "README.md" | |
| file_path.write_text("---\nlibrary_name: foo\n---\nContent\n") | |
| model_card = load_or_create_model_card(file_path) | |
| populate_model_card(model_card) | |
| assert model_card.data.library_name == "foo" | |