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, seedEXPERIMENTALpython
# 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]Deploy This Model
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