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Fix Flux Context Parallel Bug (Incoherent Image Generation) #12443

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Fix Flux Context Parallel Bug (Incoherent Image Generation) #12443

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21 changes: 20 additions & 1 deletion src/diffusers/models/transformers/transformer_flux.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,7 +114,26 @@ def __call__(
if image_rotary_emb is not None:
query = apply_rotary_emb(query, image_rotary_emb, sequence_dim=1)
key = apply_rotary_emb(key, image_rotary_emb, sequence_dim=1)

if (
torch.distributed.is_initialized()
and torch.distributed.get_world_size() > 1
and not attn.training
and self._parallel_config is not None
and (
self._parallel_config.context_parallel_config.ring_degree > 1
or self._parallel_config.context_parallel_config.ulysses_degree > 1
)
):
world_size = torch.distributed.get_world_size()

seq_len = key.shape[1]
if seq_len > 100:
key_list = [torch.empty_like(key) for _ in range(world_size)]
value_list = [torch.empty_like(value) for _ in range(world_size)]
torch.distributed.all_gather(key_list, key.contiguous())
torch.distributed.all_gather(value_list, value.contiguous())
key = torch.cat(key_list, dim=1)
value = torch.cat(value_list, dim=1)
hidden_states = dispatch_attention_fn(
query,
key,
Expand Down