huggingface / huggingface/diffusers
how to use zimage and flux2 with negative prompt?
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Description
Describe the bug
from pipeline_flux_with_cfg import FluxCFGPipeline
it allows to use negative prompt with flux, is there any similar stuff with zimage and flux2?
I means diffusers.ZImagePipeline with Tongyi-MAI/Z-Image-Turbo and diffusers.flux2kleinpipeline with black-forest-labs/FLUX.2-klein-9B I see there is negative_prompt_embeds: str | list[str] | None = None, in the call() function but how to convert negative_prompt to negative_prompt_embeds?
Reproduction
N/A
Logs
System Info
ubuntu22.04-cuda12.4.0-py311-torch2.8.0
Who can help?
@yiyixuxu @DN6
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the referenced pipeline_flux_with_cfg entry point and the call implementations for diffusers.ZImagePipeline and diffusers.flux2kleinpipeline. Trace how negative_prompt_embeds is accepted and determine the supported path for negative_prompt with Tongyi-MAI/Z-Image-Turbo and black-forest-labs/FLUX.2-klein-9B; done should clarify or establish that usage with an appropriate test or documentation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 42/100