Text-to-Image
Diffusers
English
stable-diffusion
lora
dalle-3
dalle
deepvision
template:sd-lora
HelpingAI
HelpingAI-PixelCraft
Instructions to use OEvortex/HelpingAI-PixelCraft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OEvortex/HelpingAI-PixelCraft with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fluently/Fluently-XL-Final", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("OEvortex/HelpingAI-PixelCraft") prompt = "a close up of a fire breathing pokemon figure, digital art, trending on polycount, real life charmander, sparks flying, photo-realistic unreal engine, pokemon in the wild" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
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README.md
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license: mit
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language:
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- en
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- fr
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- ru
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pipeline_tag: text-to-image
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library_name: diffusers
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---
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license: mit
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language:
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- en
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pipeline_tag: text-to-image
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library_name: diffusers
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---
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