Instructions to use scrapware/highPixelar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use scrapware/highPixelar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/AnyLoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("scrapware/highPixelar") prompt = " masterpiece, best quality, 1girl, solo, pixelar" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 2,805 Bytes
35d5691 d356391 ff1d0e4 35d5691 4e928f5 ae8864a 2eca538 439a285 2eca538 35d5691 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | ---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: ' masterpiece, best quality, 1girl, solo, pixelar'
parameters:
negative_prompt: >-
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit,
fewer digits, cropped, worst quality, low quality, normal quality, jpeg
artifacts, signature, watermark, username, blurry
output:
url: images/highPixelar_v1AF.preview.png
- text: ' masterpiece, best quality, 1girl, solo, pixelar'
parameters:
negative_prompt: >-
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit,
fewer digits, cropped, worst quality, low quality, normal quality, jpeg
artifacts, signature, watermark, username, blurry
output:
url: images/highPixelarDOS_v1AF.preview.png
- text: ' masterpiece, best quality, 1girl, solo, pixelar'
parameters:
negative_prompt: >-
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit,
fewer digits, cropped, worst quality, low quality, normal quality, jpeg
artifacts, signature, watermark, username, blurry
output:
url: images/highPixelarMomokoS_v1AF.preview.png
- text: ' masterpiece, best quality, 1girl, solo, pixelar'
parameters:
negative_prompt: >-
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit,
fewer digits, cropped, worst quality, low quality, normal quality, jpeg
artifacts, signature, watermark, username, blurry
output:
url: images/highPixelarLM_v1AF.preview.png
base_model: Lykon/AnyLoRA
instance_prompt: null
license: openrail
---
# highPixelar
<Gallery />
## Model description
New version lite DIM(128) 1024 resolution LoRA.
(!) Version number is pending for complete so have same number between beta version.
<b>difference of old version:</b> differ than have painting style.
<!--
### AnyLoRA(Defaults)

### DosMix

### MomokoS

### Lametta

-->
## Download model
Weights for this model are available in Safetensors format.
[Download](/scrapware/highPixelar/tree/main) them in the Files & versions tab.
|