Instructions to use barisdeger/pixardido with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use barisdeger/pixardido 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("barisdeger/pixardido") prompt = "(pixarstyle) a waist-length portrait of a black guy with curtain bangs, jean jacket, small beanie hat, natural skin texture, 4k textures, hdr, intricate, highly detailed, sharp focus, hyperdetailed" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
pixardido

- Prompt
- (pixarstyle) a waist-length portrait of a black guy with curtain bangs, jean jacket, small beanie hat, natural skin texture, 4k textures, hdr, intricate, highly detailed, sharp focus, hyperdetailed
- Negative Prompt
- slanted eyes, deformed, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, disgusting, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, blurry, ((((mutated hands and fingers)))), watermark, watermarked, oversaturated, censored, distorted hands, amputation, missing hands, obese, doubled face, double hands
Download model
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Model tree for barisdeger/pixardido
Base model
black-forest-labs/FLUX.1-dev