yumekawa_diffusion
Do not use too many Prompts.
Negative Prompt should be low quality, bad face, bad hands, etc.
How to run
Use 🤗HuggingFace Diffusers library
clone the library
pip install --upgrade git+https://github.com/huggingface/diffusers.git transformers accelerate scipy
and run folowing scripts
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
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