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update examples

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Artiprocher
2026-02-05 11:10:55 +08:00
parent afd48cd706
commit 53890bafa4
11 changed files with 11 additions and 0 deletions
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1
examples/flux2/model_inference_low_vram/FLUX.2-klein-4B.py
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@@ -21,6 +21,7 @@ pipe = Flux2ImagePipeline.from_pretrained(
ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="tokenizer/"),
vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
)
prompt = "Masterpiece, best quality. Anime-style portrait of a woman in a blue dress, underwater, surrounded by colorful bubbles."
image = pipe(prompt, seed=0, rand_device="cuda", num_inference_steps=4)

1
examples/flux2/model_inference_low_vram/FLUX.2-klein-9B.py
View File

@@ -21,6 +21,7 @@ pipe = Flux2ImagePipeline.from_pretrained(
ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="tokenizer/"),
vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
)
prompt = "Masterpiece, best quality. Anime-style portrait of a woman in a blue dress, underwater, surrounded by colorful bubbles."
image = pipe(prompt, seed=0, rand_device="cuda", num_inference_steps=4)

1
examples/flux2/model_inference_low_vram/FLUX.2-klein-base-4B.py
View File

@@ -21,6 +21,7 @@ pipe = Flux2ImagePipeline.from_pretrained(
ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-klein-4B", origin_file_pattern="tokenizer/"),
vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
)
prompt = "Masterpiece, best quality. Anime-style portrait of a woman in a blue dress, underwater, surrounded by colorful bubbles."
image = pipe(prompt, seed=0, rand_device="cuda", num_inference_steps=50, cfg_scale=4)

1
examples/flux2/model_inference_low_vram/FLUX.2-klein-base-9B.py
View File

@@ -21,6 +21,7 @@ pipe = Flux2ImagePipeline.from_pretrained(
ModelConfig(model_id="black-forest-labs/FLUX.2-klein-9B", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="black-forest-labs/FLUX.2-klein-9B", origin_file_pattern="tokenizer/"),
vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
)
prompt = "Masterpiece, best quality. Anime-style portrait of a woman in a blue dress, underwater, surrounded by colorful bubbles."
image = pipe(prompt, seed=0, rand_device="cuda", num_inference_steps=50, cfg_scale=4)