Instructions to use oddy01/ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oddy01/ComfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("oddy01/ComfyUI", 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
- LLM
- audio_encoders
- bbox
- checkpoints
- clip
- clip_vision
- configs
- controlnet
- diffusers
- diffusion_models
- embeddings
- face_parsing
- facedetection
- facerestore_models
- gligen
- grounding-dino
- hypernetworks
- insightface
- ipadapter
- latent_upscale_models
- liveportrait
- loras
- mediapipe
- mimicmotion
- misc
- model_patches
- photomaker
- rembg
- rife
- sam2
- sams
- segformer_b2_clothes
- segm
- style_models
- tensorrt
- text_encoders
- transformer
- ultralytics
- unet
- upscale_models
- vae
- vae_approx
- videodepthanything
- vitmatte
- yolo
- 2.38 kB
- 614 MB xet
- 614 MB xet