Instructions to use b3h-young123/slected-space with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use b3h-young123/slected-space with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("b3h-young123/slected-space", 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
Ctrl+K
- AllFlux
- AniPortrait_official
- CLIP-Interrogator-2
- CatVTON
- EchoMimic
- Face-Real-ESRGAN
- Flex.1-alpha
- GFPGAN
- Gen-Vision
- HRGiger
- Hunyuan3D-2
- Hyper-FLUX-8Steps-LoRA
- IDM-VTON
- Ilaria_Upscaler
- Image_Face_Upscale_Restoration-GFPGAN-RestoreFormer-CodeFormer-GPEN
- InstantID
- InstantIR
- Kolors-Virtual-Try-On
- LayerDiffuse-gradio-unofficial
- Leffa
- LoraTheExplorer
- LuminaBrush
- MangaNinja-demo
- OOTDiffusion
- OminiControl
- OmniGen
- Omost
- OutfitAnyone
- PhotoMaker-V2
- Polaroid
- Portrait-Animation
- Product-Shot-Generationns
- Serverless-ImgGen-Hub
- Sonic
- TRELLIS
- flux-lora-the-explorer
- iclight-v2-vary
- iclight-v2
- img2vid
- joy-caption-alpha-two
- llama-bigasp-prompt-enhancer
- logo-in-context
- lumina_brush_uniform_lit
- ofai-flx-logo
- whisper-large-v3-turbo
- 4.04 kB