Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use ahmed-3m/DM_cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ahmed-3m/DM_cifar10 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("ahmed-3m/DM_cifar10") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| # Copyright 2024 The HuggingFace Team. All rights reserved. | |
| # | |
| # 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 inspect | |
| import unittest | |
| from importlib import import_module | |
| class DependencyTester(unittest.TestCase): | |
| def test_diffusers_import(self): | |
| try: | |
| import diffusers # noqa: F401 | |
| except ImportError: | |
| assert False | |
| def test_backend_registration(self): | |
| import diffusers | |
| from diffusers.dependency_versions_table import deps | |
| all_classes = inspect.getmembers(diffusers, inspect.isclass) | |
| for cls_name, cls_module in all_classes: | |
| if "dummy_" in cls_module.__module__: | |
| for backend in cls_module._backends: | |
| if backend == "k_diffusion": | |
| backend = "k-diffusion" | |
| elif backend == "invisible_watermark": | |
| backend = "invisible-watermark" | |
| assert backend in deps, f"{backend} is not in the deps table!" | |
| def test_pipeline_imports(self): | |
| import diffusers | |
| import diffusers.pipelines | |
| all_classes = inspect.getmembers(diffusers, inspect.isclass) | |
| for cls_name, cls_module in all_classes: | |
| if hasattr(diffusers.pipelines, cls_name): | |
| pipeline_folder_module = ".".join(str(cls_module.__module__).split(".")[:3]) | |
| _ = import_module(pipeline_folder_module, str(cls_name)) | |