File size: 4,901 Bytes
f339ffe 34e6a75 f369657 34e6a75 f339ffe d5bc3ba dedb5e7 d5bc3ba a3f8805 0cc0f3d aa8e74b 3ca6c25 3ff58e1 f369657 d5bc3ba 1641ada d5bc3ba dedb5e7 d5bc3ba e34c3b7 3ff58e1 e34c3b7 1641ada 34e6a75 a90cfcf 34e6a75 aa8e74b 34e6a75 dedb5e7 0aa9984 34e6a75 3ff58e1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 |
---
license: creativeml-openrail-m
inference: true
thumbnail: https://s3.amazonaws.com/moonup/production/uploads/1674263031698-6305db1fcfbde33ef7d480ff.png
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Plat Diffusion v1.3.1
Plat Diffusion v1.3.1 is a latent model fine-tuned on [Waifu Diffusion v1.4 Anime Epoch 2](https://huggingface.co/hakurei/waifu-diffusion-v1-4) with images from niji・journey and some generative AI.
`.safetensors` file is [here](https://huggingface.co/p1atdev/pd-archive/tree/main).
[kl-f8-anime2.ckpt](https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime2.ckpt) is recommended for VAE.
### Recomended Negative Prompt
```
nsfw, worst quality, low quality, medium quality, deleted, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digits, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry
```
# Samples
```
masterpiece, best quality, high quality, 1girl, solo, brown hair, green eyes, looking at viewer, autumn, cumulonimbus cloud, lighting, blue sky, autumn leaves, garden, ultra detailed illustration, intricate detailed
Negative prompt: nsfw, worst quality, low quality, medium quality, deleted, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry,
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7
```
---
(This model is not good at male, sorry)
```
masterpiece, best quality, high quality, 1boy, man, male, brown hair, green eyes, looking at viewer, autumn, cumulonimbus cloud, lighting, blue sky, autumn leaves, garden, ultra detailed illustration, intricate detailed
Negative prompt: nsfw, worst quality, low quality, medium quality, deleted, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry,
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7
```
---
```
masterpiece, best quality, 1girl, pirate, gloves, parrot, bird, looking at viewer,
Negative prompt: nsfw, worst quality, low quality, medium quality, deleted, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry, 3d
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7
```
---
```
masterpiece, best quality, scenery, starry sky, mountains, no humans
Negative prompt: nsfw, worst quality, low quality, medium quality, deleted, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7
```
# 🧨 Diffusers
```py
from diffusers import StableDiffusionPipeline
import torch
model_id = "p1atdev/plat-diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32) # not working with float16
pipe = pipe.to("cuda")
prompt = "masterpiece, best quality, 1girl, solo, short hair, looking at viewer, japanese clothes, blue hair, portrait, kimono, bangs, colorful, closed mouth, blue kimono, butterfly, blue eyes, ultra detailed illustration"
negative_prompt = "nsfw, worst quality, low quality, medium quality, deleted, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry"
image = pipe(prompt, negative_prompt=negative_prompt).images[0]
image.save("girl.png")
```
## License
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
|