Instructions to use fffiloni/dark-pointillisme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fffiloni/dark-pointillisme 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("fffiloni/dark-pointillisme") prompt = "fierce princess, white hair, looking up. in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
dark-pointillisme
Model trained with AI Toolkit by Ostris

- Prompt
- fierce princess, white hair, looking up. in the style of TOK

- Prompt
- fierce lion, red eyes. in the style of TOK

- Prompt
- fierce panda king, sword. in the style of TOK

- Prompt
- a fierce deer samurai, battlefield. in the style of TOK

- Prompt
- angry dark chicken, black and white, in the style of TOK

- Prompt
- dark fierce llama. in the style of TOK
Trigger words
You should use in the style of TOK to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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.bfloat16).to('cuda')
pipeline.load_lora_weights('fffiloni/dark-pointillisme', weight_name='dark-pointillisme.safetensors')
image = pipeline('close-up of a white tiger, red eyes. in the style of TOK').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for fffiloni/dark-pointillisme
Base model
black-forest-labs/FLUX.1-dev