Qwen-Image-Edit-Rapid-AIO-MultipleAngle

1
license:apache-2.0
by
Manojb
Image Model
OTHER
New
0 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
Unknown
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Code Examples

5.2 Pipeline call: minimal (base) vs extended (experimental) vs middle (experimental-2)python
# BASE
result = pipe(
    image=pipe_images,
    prompt=prompt,
    negative_prompt=negative_prompt,
    height=height,
    width=width,
    num_inference_steps=steps,
    generator=generator,
    true_cfg_scale=guidance_scale,
).images[0]
return result, seed
EXPERIMENTALpython
# EXPERIMENTAL
vae_image_indices = None
if extras_condition_only:
    if isinstance(pipe_images, list) and len(pipe_images) > 2:
        vae_image_indices = [0, 1] if len(pipe_images) >= 2 else [0]
res_mult = int(resolution_multiple) if resolution_multiple else int(pipe.vae_scale_factor * 2)
vae_ref_area = int(mp_ref * 1024 * 1024) if mp_ref and mp_ref > 0 else None
_apply_vae_tiling(bool(vae_tiling))
result = pipe(
    image=pipe_images, prompt=prompt, negative_prompt=negative_prompt,
    height=height, width=width, num_inference_steps=steps,
    generator=generator, true_cfg_scale=guidance_scale,
    vae_image_indices=vae_image_indices,
    pad_to_canvas=bool(pad_to_canvas),
    resolution_multiple=res_mult,
    vae_ref_area=vae_ref_area,
    vae_ref_start_index=base_ref_count,
    decoder_vae=str(decoder_vae).lower(),
    keep_decoder_2x=bool(keep_decoder_2x),
).images[0]

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