--- language: - ja - en --- # yumekawa_diffusion [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1jUvv2RXEFo-fQVSSzVBs7vU22au3OLcC?usp=sharing#scrollTo=Ri6jRc9kAust) Generate a "Yumekawaii" image Do not use too many Prompts. Negative Prompt should be low quality, bad face, bad hands, etc. # How to run You can run in Google colab[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1jUvv2RXEFo-fQVSSzVBs7vU22au3OLcC?usp=sharing#scrollTo=Ri6jRc9kAust) Use [🤗HuggingFace Diffusers library](https://github.com/huggingface/diffusers) clone the library ``` pip install --upgrade git+https://github.com/huggingface/diffusers.git transformers accelerate scipy ``` and run folowing scripts ```python import torch from diffusers import StableDiffusionPipeline, EulerDiscreteScheduler model_id = "teftef/yumekawa_diffusion_ver2.1" scheduler = EulerDiscreteScheduler.from_pretrained(model_id, subfolder="scheduler") pipe = StableDiffusionPipeline.from_pretrained(model_id, scheduler=scheduler) pipe = pipe.to("cuda") prompt = "a girl" negative_prompt="low quality,bad face,bad anatomy,bad hand" image = pipe(prompt,negative_prompt=negative_prompt).images[0] image.save("output_img.png") ``` # Result **Left** : Waifu Diffusion 1.4 e1 **Middle** : Fine tuned model without LoRA : **[can use in here]**(https://huggingface.co/teftef/teftef_fox_ear_2_0/tree/main) **Right** : Fine tuning with RoLA (yumekawa_diffusion) ### Fixed Prompts ・Prompt : a girl, ・Negative Prompt : low quality,bad face,bad hands, ・Step : 28 ・CFG Scale : 7.5 ・Sampling method : Euler a ・w×h=512×768 ### Various Prompts ・Negative Prompt : low quality,bad face,bad hands, ・Step : 28 ・CFG Scale : 7.5 ・Sampling method : Euler a ・w×h=512×768 Traning : 2023/01/13 Public : 2023/01/15 teftef