✦ Arthemy Comics Anima ✦
After a few attempts, I've managed to convert all of my tools for Anima and I'm so excited about this new base.
I've made this model by mostly "Removing" things from the Anima Base model, using a few of my LoRAs and modifying the model's internal values - like it would be done with a fine-tune training - by isolating concepts and boost them in order to highlight specific aesthetics or areas of the model.
Since I've worked on Qwen too, I highly suggest to download the tuned TextEncoder and use it with my model.
This means that this version is much more focused on 2D illustrations than the original model, and its scope is pretty limited to Comicbook / Cartoon outputs.
Said so, I hope you have fun!
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1_____Size: Around 1024 x 1344
2_____Prompt: Start from the prompts present here and tune the keywords based on your needs:
Quick Prompt
score_7, score_8, dynamic pose and angle, extreme perspective deformation, solo, realistic western comics style, flat color 2d illustration, (insert your prompt here)
Quick Negative Prompt
no lineart, score_1, score_2, score_3, score_1, score_2, score_3, 3D, (insert your prompt here)
3_____CFG: 3.5 to 8.0
4_____Steps: 30 to 40
I hope you like my models and I can't wait to see what you all are going to create with it!
Description
FAQ
Comments (13)
The GOAT! I was sure this would come soon.
What's your thoughts about the Anima model, compared to Illustrious or others? I mean, which are your favourites?
I've played with a lot of models but it truly depends on the "scope" you have in mind.
Since I'm an illustrator and I really care about 2D illustrations, there aren't many competitors other than Anima for that spot right now - in all honesty illustrious is showing its limits and my training process was showing the first signs of diminishing return.
For illustrations I think that Anima right now is the best we could hope for - it's flexible, light, it can manage both Keyword based prompt and natural prompting.. it's really great!
I'm sure that, if the community starts to work on it like we did with illustrious, it can go really further than the SDXL base.
I mean, this model is the first iteration, made in a few days without experience on it and it's already showing great result.
The fact that you don't have a 75 token limit before it all goes down the toilet, alongside the fact that you have (keyword:5) (weights:2.5) for once in a blue moon, is quite fantastic.
That you can additionally do things like
"multiple panels, blahblah blah ..
right: something happens
left: something else happens
"
and it actually prints it, incredible
it also trains super easily, and very well
@Arthemy Thanks for the detailed insight! I tried it and it does feel flexible with prompting, understanding it most of the time. My only gripe for now would be the quality and consistency, compared to Illustrious that is. Compositions look pretty dynamic though.
Also, when you say you're an illustrator, you mean traditional art or AI? Just curious, being an artist myself who isn't scared of AI.
King of western style checkpoint is back !
It's still the first iteration with a model I'm not yet comfortable with - low expectations please! 😝✨
Of course , there is always a first step ;-) . This first version tend to "masculinize" many of woman's lora.
@Baekdoosixt unfortunately yes, as I said, not being familiar with the model, I might have pushed too far towards the masculine side, because I was used to fight back illustrious tendencies to generate female bodies.
For now my main objective was to try and westernize Anima a lot and get some feedbacks on areas that needs to be improved. ✨
@Arthemy that's a very promising first shot ! if i can be of any help please let me know
You seem to be missing the "base model" category on this model, which is (unfortunately) rather important to find a n y t h i n g in the flood of prompt skill issue LoRAs for Anima.
ITS TIME
It's time... To start the long process of improvements! 😝✨
I'm glad to see you've started working on Anima. It's definitely a model with the potential to improve Illustrious's work. That said, for the moment, Illustrious still produces generally better images (wider knowledge of Danbooru tags, precision, adaptability, style fidelity) than Anima, which is to be expected for such a new model that lacks years of training compared to ILXL models.
Back to your your checkpoint release, it has an install issue for Forge Neo users through Stability Matrix so i presume that this is the same for all Forge based tools:
CHv1.8.13: Run get_model_id_from_url CHv1.8.13: Getting model info for: 2700278 CHv1.8.13: Request model info from civitai: 2700278 CHv1.8.13: Requesting Civitai: https://civitai.com/api/v1/models/2700278 CHv1.8.13: Get subfolder for: G:\Stability Matrix\Data\Packages\forge-neo\models\Stable-diffusion CHv1.8.13: Searching local model by version id CHv1.8.13: folder: G:\Stability Matrix\Data\Packages\forge-neo\models\Stable-diffusion\sd\anima CHv1.8.13: model_ids: {'model': 2700278, 'version': 3032338} Traceback (most recent call last): File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\gradio\queueing.py", line 536, in process_events response = await route_utils.call_process_api( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<5 lines>... ) ^ File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\gradio\route_utils.py", line 285, in call_process_api output = await app.get_blocks().process_api( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<11 lines>... ) ^ File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\gradio\blocks.py", line 1923, in process_api result = await self.call_function( ^^^^^^^^^^^^^^^^^^^^^^^^^ ...<8 lines>... ) ^ File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\gradio\blocks.py", line 1520, in call_function prediction = await utils.async_iteration(iterator) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\gradio\utils.py", line 663, in async_iteration return await iterator.__anext__() ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\gradio\utils.py", line 656, in __anext__ return await anyio.to_thread.run_sync( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ run_sync_iterator_async, self.iterator, limiter=self.limiter ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\anyio\to_thread.py", line 63, in run_sync return await get_async_backend().run_sync_in_worker_thread( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ func, args, abandon_on_cancel=abandon_on_cancel, limiter=limiter ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\anyio\_backends\_asyncio.py", line 2518, in run_sync_in_worker_thread return await future ^^^^^^^^^^^^ File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\anyio\_backends\_asyncio.py", line 1002, in run result = context.run(func, *args) File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\gradio\utils.py", line 639, in run_sync_iterator_async return next(iterator) File "G:\Stability Matrix\Data\Packages\forge-neo\venv\Lib\site-packages\gradio\utils.py", line 801, in gen_wrapper response = next(iterator) File "G:\Stability Matrix\Data\Packages\forge-neo\extensions\Stable-Diffusion-Webui-Civitai-Helper\ch_lib\model_action_civitai.py", line 847, in dl_model_by_input for result in download_files(filename, folder, ver_info, headers, filetypes, dl_all, duplicate): ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "G:\Stability Matrix\Data\Packages\forge-neo\extensions\Stable-Diffusion-Webui-Civitai-Helper\ch_lib\model_action_civitai.py", line 644, in download_files dl_info = parse_file_info(ver_info, filename) File "G:\Stability Matrix\Data\Packages\forge-neo\extensions\Stable-Diffusion-Webui-Civitai-Helper\ch_lib\model_action_civitai.py", line 598, in parse_file_info filetype = file_info["type"] ~~~~~~~~~^^^^^^^^ KeyError: 'type'