Instructions to use v33ts/Comfyui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use v33ts/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("v33ts/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
File size: 616 Bytes
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author: Ragnar890
baseModel: Flux.1 D
hashes:
AutoV1: EB6DC28C
AutoV2: AFC8E28272
AutoV3: DDEC9C299F56
BLAKE3: CE21CB76364AA6E2421311CF4A4B5EB052A76C4F1CD207B50703D8978198A068
CRC32: 626AAEF6
SHA256: AFC8E28272CD15DB3919BACDB6918CE9C1ED22E96CB12C4D5ED0FBA823529E38
metadata:
format: SafeTensor
modelPage: https://civitai.com/models/636193?modelVersionId=711305
preview:
- https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/83da9b79-608e-462e-a286-8edc3beba968/width=450/23628003.jpeg
website: Civitai
---
# Trigger Words
No trigger words
# About this version
ae.sft
# Flux vae.sft
Flux VAe.sft
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