Instructions to use yongtaek-lim/cute-flat-anime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yongtaek-lim/cute-flat-anime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("yongtaek-lim/cute-flat-anime") prompt = " " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Cute Flat Anime

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(CivitAI)
Model description
Help fuel my passion! Even $1 makes a difference. ☕ https://ko-fi.com/citronlegacy
Check out all the Art styles I’ve made: https://civitai.com/user/CitronLegacy/models?tag=style
Trained on: 66 images
Training Model: AnyLoRA_noVae_fp16-pruned
flip_aug: False
Num of Repeats: 10
Unit is Epochs or Steps: Epochs
Number of Epochs or Steps: 10
Training Batch Size: 2
Total Steps: 3300
Resolution: 512
Network Dim: Dim 32 and Alpha 16
Lora Creation Process took: 00:35:28
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('yongtaek-lim/cute-flat-anime', weight_name='FlatAnime.safetensors')
image = pipeline('Your custom prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for yongtaek-lim/cute-flat-anime
Base model
runwayml/stable-diffusion-v1-5