This is a model trained on detailed photos of my own paintings, then mixed back with SD a little bit. Note, that it uses details, so add "highly detailed" or something to get better results (look at my prompts). This model trained on landscapes and several portraits, but makes a good job in other objectives as well. Use "A PAINTING BY MSE" to get a more painterly look
Description
FAQ
Comments (13)
Not impressed at all, it produces very blurry images with giant brustrokes and zero detail.
I dont recommend it.
Brushstrokes is the goal of this model. If you want crispy images - you can find dozens of them
That's clearly the goal of this model. 😐
I like how you guys dont say anything about zero detail lmao
Hey, your examples look amazing but I'm struggling to get anything even near that, especially the brushstroke quality. I copied all the parameters to no avail. Any tips? Thanks.
most of them (without settings) are from easy diffusion. It makes different results even with the same set up. Give a try
@crantisz Intreresting... I'd never heard of Easy Diffusion. I'll install it and hopefully it won't mess up my Automatic1111. Thanks!
How about a 1.5 version?
Unable to use.
Loading weights [032ba65f5a] from D:\Stable WEBUI\stable-diffusion-webui\models\Stable-diffusion\x768\ABSTRACT - OTHERS\impressionismOil_sd21.safetensors
changing setting sd_model_checkpoint to x768\ABSTRACT - OTHERS\impressionismOil_sd21.safetensors [032ba65f5a]: SafetensorError
Traceback (most recent call last):
File "D:\Stable WEBUI\stable-diffusion-webui\modules\shared.py", line 516, in set
self.data_labels[key].onchange()
File "D:\Stable WEBUI\stable-diffusion-webui\modules\call_queue.py", line 15, in f
res = func(*args, **kwargs)
File "D:\Stable WEBUI\stable-diffusion-webui\webui.py", line 199, in <lambda>
shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights()), call=False)
File "D:\Stable WEBUI\stable-diffusion-webui\modules\sd_models.py", line 533, in reload_model_weights
state_dict = get_checkpoint_state_dict(checkpoint_info, timer)
File "D:\Stable WEBUI\stable-diffusion-webui\modules\sd_models.py", line 273, in get_checkpoint_state_dict
res = read_state_dict(checkpoint_info.filename)
File "D:\Stable WEBUI\stable-diffusion-webui\modules\sd_models.py", line 252, in read_state_dict
pl_sd = safetensors.torch.load_file(checkpoint_file, device=device)
File "D:\Stable WEBUI\stable-diffusion-webui\venv\lib\site-packages\safetensors\torch.py", line 259, in load_file
with safe_open(filename, framework="pt", device=device) as f:
safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer