Instructions to use mhnakif/comfy2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mhnakif/comfy2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mhnakif/comfy2", 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
- ace
- anima
- audio
- aura
- cascade
- chroma
- chroma_radiance
- cogvideo
- cosmos
- ernie
- flux
- genmo
- hidream
- hidream_o1
- hunyuan3d
- hunyuan3dv2_1
- hunyuan_video
- hydit
- ideogram4
- kandinsky5
- lens
- lightricks
- lumina
- mmaudio
- models
- modules
- moge
- omnigen
- pixart
- pixeldit
- qwen_image
- rt_detr
- sam3
- supir
- triposplat
- wan
- 474 Bytes
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