Instructions to use Ava2000/Choco_Chocolate_Shop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ava2000/Choco_Chocolate_Shop with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("oron1208/OOO_Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ava2000/Choco_Chocolate_Shop") prompt = "masterpiece, best quality, 4 fingers and a thumb," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload The style of Choco.
Browse files- The style of Choco. +13 -0
The style of Choco.
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The style of Choco.
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I made this lora to try and reproduce the style of Chocolate Shop.
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Illustrious v3: somewhat the same as version 2, but it is smoother and I have the feeling it is slightly better. It still needs the artist tag (choco (chocolate shop),) for the best result. I think the dataset is not consistent enough, but fixing that would take way to much time, and using the artist tag is faster.
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Backgrounds that are not well tagged might create artifacts. Define a background or use simple background together with (signature, watermark, username, artist name, english text, text, dated, signature:1.5), in the negatives for best results!
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Illustrious v2: I made this lora because I noticed the old Illustrious lora trained in my early days was lacking in strength, These new lora works better, but for the best result, you best use the artist tag: choco (chocolate shop), It enhances your works greatly, but each on their own will give a lesser effect.
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The dataset is trained with text and frames (but they are properly tagged). So be sure to use negative tags to counter this. If you don't know any, take a look at the demo images as a start.
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Backgrounds that are not well tagged might create artifacts. Define a background or use simple background together with (signature, watermark, username, artist name, english text, text, dated, signature:1.5), in the negatives for best results!
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