Instructions to use matrixrb/waveImage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matrixrb/waveImage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matrixrb/waveImage", 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 model_index.json from matrixrb/waveImage: direct link, hf CLI and curl.
- Browser
- Download file 635 Bytes
-
https://huggingface.co/matrixrb/waveImage/resolve/main/model_index.json
- Command line
-
hf download hf://matrixrb/waveImage/model_index.json
-
curl -L -o model_index.json https://huggingface.co/matrixrb/waveImage/resolve/main/model_index.json
635 Bytes
| { | |
| "_class_name": "StableDiffusionPipeline", | |
| "_diffusers_version": "0.37.1", | |
| "_name_or_path": "runwayml/stable-diffusion-v1-5", | |
| "feature_extractor": [ | |
| "transformers", | |
| "CLIPImageProcessor" | |
| ], | |
| "image_encoder": [ | |
| null, | |
| null | |
| ], | |
| "requires_safety_checker": true, | |
| "safety_checker": [ | |
| null, | |
| null | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "PNDMScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DConditionModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |