Instructions to use semiosphere/the_artist_for_chromaHD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use semiosphere/the_artist_for_chromaHD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lodestones/Chroma1-HD", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("semiosphere/the_artist_for_chromaHD") prompt = "[epoch 5 sample] Create a digital illustration in a vibrant, neon-lit style, reminiscent of retro-futuristic aesthetics. The image features a tunnel-like corridor with a glowing, grid-patterned floor and energetic sine and cosine waves as walls. The corridor narrows as it extends into the distance, creating a sense of depth. The floor and walls are composed of a grid of small, glowing red and orange squares, creating a grid-like pattern. Star lit sky.,the_artist\nSDE++ with 25 steps and CFG 5, Clip Skip 0, Seed: 155150443" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Atton Randt commited on
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## Dataset
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Dataset is
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## Dataset
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Dataset is shared and it provides all images and descriptions used for training the model.
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