🐻 Original Pooh Diffusion
Fine-tuned Stable Diffusion model, based of F222, trained with pictures illustrated by E. H. Shepard from the book "Winnie-the-Pooh", by A. A. Milne, originally published in Canada by McClelland & Stewart, Ltd., 1926. Released into the public domain on January 3, 2022.
📗 Winnie-the-Pooh, by A. A. Milne
Model Usage
✨ Use the tokens original pooh in your prompts to activate the model.
☕ If you enjoy this model, buy a coffee
🧾 Prompt examples:
Basic starting point
original pooh, illustrated by eh shepard
House of Pooh
Perfectly-centered portrait deep in a forest with bee nest hanging original pooh, stars, concept art, artstation, illustrated by eh shepard
Steps: 102, Sampler: LMS, CFG scale: 8.5, Seed: 2469061657, Size: 512x512, Model hash: b7ba5b22
Hanging out at the Hive
Perfectly-centered portrait deep in a forest with bee nest hanging original pooh, stars, concept art, artstation, illustrated by eh shepard
Steps: 102, Sampler: LMS, CFG scale: 8.5, Seed: 2469061635, Size: 512x512, Model hash: b7ba5b22
❎ Negative Prompt Template
All images were rendered with the negative prompt below:
text, error, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry, ((ugly)), ((duplicate)), ((morbid)), ((mutilated)), out of frame, red coat, (((red jacket)))
🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.
Export the model:
from diffusers import StableDiffusionPipeline
import torch
model_id = "3ee/original-pooh"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "original pooh sneaking into a bee nest"
image = pipe(prompt).images[0]
image.save("./pooh_pooh.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:
- You can't use the model to deliberately produce nor share illegal or harmful outputs or content
- 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
- 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