How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Gerchegg/hyphoria_qwen_v1-Diffusers", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Hyphoria Qwen v1 Diffusers

Diffusers-packaged version of chapel/hyphoria_qwen_v1.0 using hyphoria_qwen_v1_bf16.safetensors as the custom Qwen-Image transformer.

Packaged analogously to Gerchegg/Qwen_FloVector_Hex_CharactersScenes_V1-Diffusers:

  • base components from Qwen/Qwen-Image: scheduler/, text_encoder/, tokenizer/, vae/
  • custom transformer weights at transformer/diffusion_pytorch_model.safetensors
  • Qwen-Image transformer config at transformer/config.json

Source checkpoint: https://huggingface.co/chapel/hyphoria_qwen_v1.0

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