Instructions to use MLbackup/Lora_scrape_2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MLbackup/Lora_scrape_2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MLbackup/Lora_scrape_2023") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
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Queries on what the activation tags are can be made via DM's, this is largely a backup for anything uploaded to civit.
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Join our Reddit: https://www.reddit.com/r/earthndusk/
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If you got requests, or concerns, We're still looking for beta testers: JOIN THE DISCORD AND DEMAND THINGS OF US: https://discord.gg/Da7s8d3KJ7
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Listen to the music that we've made that goes with our art: https://open.spotify.com/playlist/00R8x00YktB4u541imdSSf?si=b60d209385a74b38
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Queries on what the activation tags are can be made via DM's, this is largely a backup for anything uploaded to civit.
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Test these out here: start your ONLINE GENERATION now! https://tensor.art/images/618050252349634200?post_id=618057377695934307&source_id=nz-3plnjkUG1ofAvanb09hMv
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Join our Reddit: https://www.reddit.com/r/earthndusk/
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WE ARE PROUDLY SPONSORED BY: https://www.piratediffusion.com/
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If you got requests, or concerns, We're still looking for beta testers: JOIN THE DISCORD AND DEMAND THINGS OF US: https://discord.gg/Da7s8d3KJ7
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Listen to the music that we've made that goes with our art: https://open.spotify.com/playlist/00R8x00YktB4u541imdSSf?si=b60d209385a74b38
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