itch.io

Thanks for looking into it.

Yeah, trying to load the Pony was an oversight because civitai also listed it with search Filter for SD 1.5 and it produced the same error so I mentioned it as well.

On the free light version loading the .safetensors resulted in the error

Failed to import diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion because of the following error (look up to see its traceback): Failed to import diffusers.models.autoencoders.autoencoder_kl because of the following error (look up to see its traceback): infer_schema(func): Parameter q has unsupported type torch.Tensor. The valid types are: dict_keys([<class 'torch.Tensor'>, typing.Optional[torch.Tensor], typing.Sequence[torch.Tensor], typing.List[torch.Tensor], typing.Sequence[typing.Optional[torch.Tensor]], typing.List[typing.Optional[torch.Tensor]], <class 'int'>, typing.Optional[int], typing.Sequence[int], typing.List[int], typing.Optional[typing.Sequence[int]], typing.Optional[typing.List[int]], <class 'float'>, typing.Optional[float], typing.Sequence[float], typing.List[float], typing.Optional[typing.Sequence[float]], typing.Optional[typing.List[float]], <class 'bool'>, typing.Optional[bool], typing.Sequence[bool], typing.List[bool], typing.Optional[typing.Sequence[bool]], typing.Optional[typing.List[bool]], <class 'str'>, typing.Optional[str], typing.Union[int, float, bool], typing.Union[int, float, bool, NoneType], typing.Sequence[typing.Union[int, float, bool]], typing.List[typing.Union[int, float, bool]], <class 'torch.dtype'>, typing.Optional[torch.dtype], <class 'torch.device'>, typing.Optional[torch.device]]). Got func with signature (q: 'torch.Tensor', k: 'torch.Tensor', v: 'torch.Tensor', softmax_scale: 'float | None' = None, causal: 'bool' = False, qv: 'torch.Tensor | None' = None, q_descale: 'torch.Tensor | None' = None, k_descale: 'torch.Tensor | None' = None, v_descale: 'torch.Tensor | None' = None, attention_chunk: 'int' = 0, softcap: 'float' = 0.0, num_splits: 'int' = 1, pack_gqa: 'bool | None' = None, deterministic: 'bool' = False, sm_margin: 'int' = 0) -> 'tuple[torch.Tensor, torch.Tensor]')

Attempted with https://civitai.com/models/166609/realism-by-stable-yogi-pony?modelVersionId=298... and https://civitai.red/models/139300/realistic-digital-genius

Any idea what went wrong or how to fix this?

Awesome!

Looking forward to what will come of this.

Has some promise, evidently shows inspiration from good role models.

Some thoughts:

1. Please make it possible to check your deck when selecting rewards. It's not easy to make a correct decision when you don't know what you already have and what not.

2. Some card factors seems to not be written on the cards, e.g. which cards are drink/tea cards?

3. Can you fix the artworks which don't match the wardrobe of the character?

4. Some tooltips of enemy actions have an effect written twice which was confusing.

5. Will swelling become a visible progress on the character model? (Please)

It's written in the update notes for Update 1.3.0.23 betatest,