Instructions to use p1atdev/plat-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use p1atdev/plat-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("p1atdev/plat-diffusion", 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
| license: creativeml-openrail-m | |
| inference: true | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| # Plat Diffusion v1.3.0 | |
| Plat Diffusion is a fine-tuned model based on [Waifu Diffusion v1.4 Anime Epoch 1](https://huggingface.co/hakurei/waifu-diffusion-v1-4) with images generated with niji・journey. | |
|  | |
| ``` | |
| masterpiece, best quality, 1girl, orange feather, blue crystals, blurry foreground | |
| ``` | |
| ### Recomended Negative Prompt | |
| ``` | |
| nsfw, worst quality, low quality, deleted, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry | |
| ``` | |
| # 🧨 Diffusers | |
| ```py | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| model_id = "p1atdev/plat-diffusion" | |
| pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
| pipe = pipe.to("cuda") | |
| prompt = "masterpiece, best quality, 1girl, orange feather, blue crystals, blurry foreground" | |
| image = pipe(prompt).images[0] | |
| image.save("girl.png") | |
| ``` |