Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
pencil
style
the protoart
flux.1
Instructions to use brushpenbob/flux-pencil-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brushpenbob/flux-pencil-v2 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("brushpenbob/flux-pencil-v2") 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("brushpenbob/flux-pencil-v2")
prompt = " "
image = pipe(prompt).images[0]Flux Pencil v2

- Prompt

- Prompt

- Prompt
Model description
remastered for XL model and remake of the previous flux pencil
Trigger words
You should use evang style to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 𧨠diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/flux-pencil-v2', weight_name='Flux_Pencil_v2_r1.safetensors')
image = pipeline('`evang style`').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 brushpenbob/flux-pencil-v2
Base model
black-forest-labs/FLUX.1-dev