Skip to content

feat(diffusers): add support for Lumina2Text2ImgPipeline #4806

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 4 commits into from
Apr 10, 2025
Merged

feat(diffusers): add support for Lumina2Text2ImgPipeline #4806

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
b3e04cc
feat(diffusers): add support for Lumina2Text2ImgPipeline
mudler Feb 11, 2025
cea9567
Merge branch 'master' into lumina
mudler Feb 11, 2025
97ccef0
Merge branch 'master' into lumina
mudler Mar 28, 2025
505013c
Merge branch 'master' into lumina
mudler Apr 9, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 7 additions & 1 deletion backend/python/diffusers/backend.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@

from diffusers import SanaPipeline, StableDiffusion3Pipeline, StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, \
EulerAncestralDiscreteScheduler, FluxPipeline, FluxTransformer2DModel
from diffusers import StableDiffusionImg2ImgPipeline, AutoPipelineForText2Image, ControlNetModel, StableVideoDiffusionPipeline
from diffusers import StableDiffusionImg2ImgPipeline, AutoPipelineForText2Image, ControlNetModel, StableVideoDiffusionPipeline, Lumina2Text2ImgPipeline
from diffusers.pipelines.stable_diffusion import safety_checker
from diffusers.utils import load_image, export_to_video
from compel import Compel, ReturnedEmbeddingsType
Expand Down Expand Up @@ -287,6 +287,12 @@ def LoadModel(self, request, context):

if request.LowVRAM:
self.pipe.enable_model_cpu_offload()
elif request.PipelineType == "Lumina2Text2ImgPipeline":
self.pipe = Lumina2Text2ImgPipeline.from_pretrained(
request.Model,
torch_dtype=torch.bfloat16)
if request.LowVRAM:
self.pipe.enable_model_cpu_offload()
elif request.PipelineType == "SanaPipeline":
self.pipe = SanaPipeline.from_pretrained(
request.Model,
Expand Down
Loading