Instructions to use nerijs/pastelcomic-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nerijs/pastelcomic-flux 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("nerijs/pastelcomic-flux") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("nerijs/pastelcomic-flux")
prompt = "-"
image = pipe(prompt).images[0]pastelcomic-flux

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Model description
LoRa for FLUX1.-dev inspired by comic book covers with soft and pastel look
- Several checkpoints are included, best one is pastelcomic_v2.safetensors but you can try the rest
Tips
- Use it at 1.2 strength for best results
- No trigger required, just use natural prompting
- Blends really well with other Loras
- Use natural prompting, check out the .json files included in the repo for some examples
Limitations
- The model might have some issues with hands
- If you increase the strentgh too much (>1.3) most faces become the same
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for nerijs/pastelcomic-flux
Base model
black-forest-labs/FLUX.1-dev