Instructions to use Cubort/Radiencev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cubort/Radiencev2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cubort/Radiencev2", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Cubort/Radiencev2: direct link, hf CLI and curl.
- Browser
- Download file 1.27 kB
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https://huggingface.co/Cubort/Radiencev2/resolve/main/README.md
- Command line
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hf download hf://Cubort/Radiencev2/README.md
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curl -L -o README.md https://huggingface.co/Cubort/Radiencev2/resolve/main/README.md
1.27 kB
| thumbnail: "https://media.discordapp.net/attachments/1002437703192821910/1073391952977989632/thumb.png" | |
| license: creativeml-openrail-m | |
| language: | |
| - en | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
|  | |
| # VOXO | |
| Merged model by junjuice0. | |
| This model was originally created just for me, so I am not after quality and please don't expect too much. | |
| I may release finetune version of this model in the future, but only God knows if I am willing to do it until then. | |
| [JOIN US(日本語)](https://discord.gg/ai-art) | |
| # VOXO-Vtuber (VOXO-v0-vtuber.safetensors) | |
| This model can generate vtubers for Hololive and Nijisanji. | |
| Some vtubers may or may not come out well. | |
| It is recommended to give the name a weight of about 1.2 (e.g. (ange katrina:1.2)) | |
| # RECOMMENDED | |
| It is recommended to use TIs such as bad-images or bad-prompt for negative prompts. Also, quality prompts (e.g. masterpiece, high quality) are not required. | |
| The use of highres. fix may change the painting considerably, use according to your preference. | |
| # HOW TO USE | |
| The usage is the same as other diffusion models, and it would be easier to read other people's explanations than mine here. | |