Instructions to use kingjones777/Ming-Image-0.1-Design-ROCm-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kingjones777/Ming-Image-0.1-Design-ROCm-INT8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kingjones777/Ming-Image-0.1-Design-ROCm-INT8", 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 mllm/preprocessor_config.json from kingjones777/Ming-Image-0.1-Design-ROCm-INT8: direct link, hf CLI and curl.
- Browser
- Download file 450 Bytes
-
https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/mllm/preprocessor_config.json
- Command line
-
hf download hf://kingjones777/Ming-Image-0.1-Design-ROCm-INT8/mllm/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/kingjones777/Ming-Image-0.1-Design-ROCm-INT8/resolve/main/mllm/preprocessor_config.json
450 Bytes
| { | |
| "min_pixels": 451584, | |
| "max_pixels": 451584, | |
| "patch_size": 14, | |
| "temporal_patch_size": 2, | |
| "merge_size": 2, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "image_token": "<image>", | |
| "video_token": "<video>", | |
| "image_processor_type": "BailingMM2ImageProcessor", | |
| "return_attention_mask": true, | |
| "padding_side": "right", | |
| "padding_value": 0.0 | |
| } | |