Instructions to use EnD-Diffusers/10-minute-grumpy-hour with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/10-minute-grumpy-hour with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/10-minute-grumpy-hour", dtype=torch.bfloat16, device_map="cuda") prompt = "burgie" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download model_index.json from EnD-Diffusers/10-minute-grumpy-hour: direct link, hf CLI and curl.
- Browser
- Download file 542 Bytes
-
https://huggingface.co/EnD-Diffusers/10-minute-grumpy-hour/resolve/ea7eb70914d74f3129cd13785a1716ac602abb54/model_index.json
- Command line
-
hf download hf://EnD-Diffusers/10-minute-grumpy-hour@ea7eb70914d74f3129cd13785a1716ac602abb54/model_index.json
-
curl -L -o model_index.json https://huggingface.co/EnD-Diffusers/10-minute-grumpy-hour/resolve/ea7eb70914d74f3129cd13785a1716ac602abb54/model_index.json
542 Bytes
| { | |
| "_class_name": "StableDiffusionPipeline", | |
| "_diffusers_version": "0.6.0", | |
| "feature_extractor": [ | |
| "transformers", | |
| "CLIPFeatureExtractor" | |
| ], | |
| "safety_checker": [ | |
| "stable_diffusion", | |
| "StableDiffusionSafetyChecker" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "PNDMScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DConditionModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } |