Instructions to use AIWarper/RubberCore1920sCartoonStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIWarper/RubberCore1920sCartoonStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AIWarper/RubberCore1920sCartoonStyle") prompt = "RU883R style, soviet traditional children rear view walking next to a crop field, a dirt trail, a river, some snow patches on the ground, early winter, at a distance stands an old rusty broken giant mechanical quadripedal feet war machine with wires hanging and a artillery canon and green paint, bulky body, inspired by Jakub Rozalski. Vintage 1920s cartoon." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 8 files
Browse files- RU883R_AIWARPER_v1.0.safetensors +3 -0
- images/Rub_00001_.png +3 -0
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- images/Rub_00004_.png +3 -0
- images/Rub_00005_.png +3 -0
- images/Rub_00006_.png +3 -0
- images/Rub_00007_.png +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:856a020aced7fb3c00449e5a14b49c8cbc2fb4c314e70260507cf98c604b77d3
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size 86049792
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