Instructions to use OzzyGT/ming_image_0_1_design_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/ming_image_0_1_design_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("OzzyGT/ming_image_0_1_design_diffusers", 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 tokenizer/tokenizer.json from OzzyGT/ming_image_0_1_design_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/OzzyGT/ming_image_0_1_design_diffusers/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://OzzyGT/ming_image_0_1_design_diffusers/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/OzzyGT/ming_image_0_1_design_diffusers/resolve/main/tokenizer/tokenizer.json
12.2 MB
- Xet hash:
- 55a330a8d6df645aeee705d65f0cf6a38a29a8ad1b2ecd8a797a6c4115c4bc2c
- Size of remote file:
- 12.2 MB
- SHA256:
- e7ff01708d504f7bf4dbf7f5815adde57bab9a40e7f563ab6ad1acace4464917
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