Text-to-Image
Diffusers
lora
template:diffusion-lora
bobina
Bobina
Council
Ethereum
Base
bobina.moe
Bobina_Council
Instructions to use bobinamoe/bobinas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bobinamoe/bobinas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bobinamoe/bobinas") prompt = "Bobina in the trenches of Ukraine, she is holding a classic AK47. She is firing in the trenches at an unknown Ukrainian pig for Mother Russia! The rifle is visibly inscribed bobina.moe on the gun stock." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download custom_nodes/ComfyUI-TiledDiffusion/__pycache__/utils.cpython-312.pyc from bobinamoe/bobinas: direct link, hf CLI and curl.
- Browser
- Download file 8.42 kB
-
https://huggingface.co/bobinamoe/bobinas/resolve/main/custom_nodes/ComfyUI-TiledDiffusion/__pycache__/utils.cpython-312.pyc
- Command line
-
hf download hf://bobinamoe/bobinas/custom_nodes/ComfyUI-TiledDiffusion/__pycache__/utils.cpython-312.pyc
-
curl -L -o utils.cpython-312.pyc https://huggingface.co/bobinamoe/bobinas/resolve/main/custom_nodes/ComfyUI-TiledDiffusion/__pycache__/utils.cpython-312.pyc
8.42 kB
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