Instructions to use pookienumnums/AnghellicXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pookienumnums/AnghellicXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pookienumnums/AnghellicXL") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
AnghellicXL

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Model description
Trained on master painter character concept artist. The dataset was duplicated and inverted into negatives to enable interesting color/lighting results.
Triggers: anghellic, a very detailed painting, by a master painter, very detailed, high quality, dark fantasy, character concept
Recommended Negatives: watermark, logo, artist signature
Trigger words
You should use anghellic to trigger the image generation.
You should use a very detailed painting to trigger the image generation.
You should use by a master painter to trigger the image generation.
You should use very detailed to trigger the image generation.
You should use high quality to trigger the image generation.
You should use dark fantasy to trigger the image generation.
You should use character concept to trigger the image generation.
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 pookienumnums/AnghellicXL
Base model
stabilityai/stable-diffusion-xl-base-1.0