Instructions to use hoveyc/comfyui-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hoveyc/comfyui-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hoveyc/comfyui-models", 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
- FlashVSR-v1.1
- LLM
- Qwen
- RMBG
- SEEDVR2
- cache-huggingface
- cache-torchhub
- checkpoints
- clip
- clip_vision
- configs
- controlnet
- controlnet_aux-ckpts
- depthanything
- detection
- diffusers
- diffusion_models
- embeddings
- face_parsing
- facedetection
- facerestore_models
- float
- gligen
- grounding-dino
- hypernetworks
- inpaint
- insightface
- interpolation
- latentsyncwrapper-checkpoints
- lipsync-models
- loras
- mediapipe
- nsfw_detector
- onnx
- photomaker
- pmrf
- pulid
- rembg
- reswapper
- sam2
- sams
- style_models
- swapface_models
- text_encoders
- transformers
- ultralytics
- unet
- upscale_models
- vae
- vae_approx